Tootfinder

This https://arxiv.org/abs/2502.14391 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Passive leakage removal unit based on a disordered transmon array
Leakage out from the qubit subspace compromises standard quantum error correction protocols and is a challenge for practical quantum computing. We propose a passive leakage removal unit based on an array of coupled disordered transmons and last-site reset by feedback-measurement or dissipation. The transmons have parametric disorder both in frequency and anharmonicity such that the qubit subspace is protected by localization through energy level mismatch while the energy levels for leakage exci…

Closed-form survival probabilities for biased random walks at arbitrary step number
Debendro Mookerjee, Sarah Kostinski
https://arxiv.org/abs/2505.24814 ht…

Closed-form survival probabilities for biased random walks at arbitrary step number
We present a closed-form expression for the survival probability of a biased random walker to first reach a target site on a 1D lattice. The expression holds for any step number $N$ and is computationally faster than non-closed-form results in the literature. Because our result is exact even in the intermediate step number range, it serves as a tool to study convergence to the large $N$ limit. We also obtain a closed-form expression for the probability of last passage. In contrast to prediction…

Symbolic identification of tensor equations in multidimensional physical fields
Tianyi Chen, Hao Yang, Wenjun Ma, Jun Zhang
https://arxiv.org/abs/2507.01466

Symbolic identification of tensor equations in multidimensional physical fields
Recently, data-driven methods have shown great promise for discovering governing equations from simulation or experimental data. However, most existing approaches are limited to scalar equations, with few capable of identifying tensor relationships. In this work, we propose a general data-driven framework for identifying tensor equations, referred to as Symbolic Identification of Tensor Equations (SITE). The core idea of SITE--representing tensor equations using a host-plasmid structure--is ins…

This https://arxiv.org/abs/2501.14597 has been replaced.
initial toot: https://mastoxiv.page/@a…

Phase-controlled minimal Kitaev chain in multiterminal Josephson junctions
We propose a nanodevice based on multi-terminal Josephson junctions for the creation and detection of poor man's Majorana (PMM) modes. The device consists of a double three-terminal Josephson junction (3TJJ) embedded in a planar semiconductor that engineers a two-site Kitaev chain. We identify the conditions necessary for the emergence of PMM modes by precisely tuning the superconducting phases of the terminals and the inter-junction coupling between the 3TJJs. To validate our findings, we perf…

A Novel Intensity-Based Criterion for Determining Exceptional Point in PT-Symmetry Coupled Array of Optical Waveguides
Mahla Bahar, Mojtaba Golshani, Mostafa Motamedifar
https://arxiv.org/abs/2507.01200

A Novel Intensity-Based Criterion for Determining Exceptional Point in PT-Symmetry Coupled Array of Optical Waveguides
In this study, we investigated the propagation pattern and the site-to-site correlation function in a PT-symmetric waveguide array with different input quantum states. Recognizing the stark difference in propagation pattern before and after the PT symmetry-breaking point, we have developed a novel, straightforward intensity-based criterion to determine the exceptional point (EP). This new criterion shows excellent agreement with those obtained by directly computing the Hamiltonian's eigenvalues…

Branch lengths for geodesics in the directed landscape and mutation patterns in growing spatially structured populations
Shirshendu Ganguly, Jason Schweinsberg, Yubo Shuai
https://arxiv.org/abs/2506.01787

Branch lengths for geodesics in the directed landscape and mutation patterns in growing spatially structured populations
Consider a population that is expanding in two-dimensional space. Suppose we collect data from a sample of individuals taken at random either from the entire population, or from near the outer boundary of the population. A quantity of interest in population genetics is the site frequency spectrum, which is the number of mutations that appear on $k$ of the $n$ sampled individuals, for $k = 1, \dots, n-1$. As long as the mutation rate is constant, this number will be roughly proportional to the t…

On Hierarchical Coded Caching with Offline Users
Rashid Ummer N. T., B. Sundar Rajan
https://arxiv.org/abs/2507.00727 https://arxiv.o…

On Hierarchical Coded Caching with Offline Users
This paper studies a two-layer hierarchical network in which some users are offline during the content delivery phase. A two-layer hierarchical network consists of a single server connected to multiple cache-aided mirror sites, and each mirror site is connected to a distinct set of cache-aided users. A scheme for such a hierarchical system with offline users has been proposed recently but considered a special case where all mirror caches have zero memory, which is a significant limitation. We p…

Towards model-based design of causal manipulations of brain circuits with high spatiotemporal precision
Anandita De, Roozbeh Kiani, Luca Mazzucato
https://arxiv.org/abs/2505.24790

Towards model-based design of causal manipulations of brain circuits with high spatiotemporal precision
Recent advancements in neurotechnology enable precise spatiotemporal patterns of microstimulations with single-cell resolution. The choice of perturbation sites must satisfy two key criteria: efficacy in evoking significant responses and selectivity for the desired target effects. This choice is currently based on laborious trial-and-error procedures, unfeasible for sequences of multi-site stimulations. Efficient methods to design complex perturbation patterns are urgently needed. Can we design…

Inductive-Effect-Driven Tunability of Magnetism and Lumines-cence in Triangular Layers ANd(SO4)2 (A = Rb, Cs)
Xudong Huai, Ebube E. Oyeka, Uchenna Chinaegbomkpa, Michal J. Winiarski, Hugo Sanabria, Thao T. Tran
https://arxiv.org/abs/2506.01818

Inductive-Effect-Driven Tunability of Magnetism and Lumines-cence in Triangular Layers ANd(SO4)2 (A = Rb, Cs)
Tuning the energy landscape of manybody electronic states in extended solids through the inductive effect-a concept widely used in organic chemistry-offers a new, effective strategy for materials development. Here, we demonstrate this approach using the ANd(SO4)2 (A = Rb, Cs) model system, which possesses different A-site electronegativity and displays a distorted triangular lattice of Nd3+ (4I9/2 ground term). Magnetization data indicate appreciable antiferromagnetic interactions without long-…

A Multi-Criteria Evaluation Framework for Siting Fusion Energy Facilities: Application and Evaluation of U.S. Coal Power Plants
Muhammad R. Abdussami, Kevin Daley, Gabrielle Hoelzle, Aditi Verma
https://arxiv.org/abs/2506.22489

A Multi-Criteria Evaluation Framework for Siting Fusion Energy Facilities: Application and Evaluation of U.S. Coal Power Plants
This paper proposes a comprehensive methodology for siting fusion energy facilities, integrating expert judgment, geospatial data, and multi-criteria decision making tools to evaluate site suitability systematically. As a case study, we apply this framework to all currently operational coal power plant sites in the United States to examine their potential for hosting future fusion facilities at a time when these coal plants are shut down on reaching their end of life - timelines which are expec…

A DNA Methylation Classification Model Predicts Organ and Disease Site
Keng-Jung Lee, Dharanya Sampath, Konstantinos Mavrommatis
https://arxiv.org/abs/2506.00146

A DNA Methylation Classification Model Predicts Organ and Disease Site
Cell-free DNA (cfDNA) analysis is a powerful, minimally invasive tool for monitoring disease progression, treatment response, and early detection. A major challenge, however, is accurately determining the tissue of origin, especially in complex or heterogeneous disease contexts. To address this, we developed a machine learning framework that leverages tissue-specific DNA methylation signatures to classify both tissue and disease origin from cfDNA data. Our model integrates methylation datasets …

I maintain a page linking to comments I have left (or when I’m referenced) on posts at CSS Tricks and Smashing Magazine:
http://a11y-tricks.com/
I started this as a gag, but it’s been hella useful for me to go back and find posts that resulted in me having to debunk them face-to-face with people who believe…

On beam characterization of ground-based CMB radio telescopes using UAV-mounted sources: application to the QUIJOTE TFGI and plans for LSPE-Strip
Fabio Paonessa, Lorenzo Ciorba, Giuseppe Addamo, Paz Alonso-Arias, Barbara Caccianiga, Marco Bersanelli, Francesco Cuttaia, Cristian Franceschet, Ricardo Tanausu Genova Santos, Massimo Gervasi, Roger Hoyland, Mike Jones, Carlos Hugo Lopez-Caraballo, Mauro Lumia, Michele Maris, Aniello Mennella, Gianluca Morgante, Oscar Antonio Peverini, Sabri…

On beam characterization of ground-based CMB radio telescopes using UAV-mounted sources: application to the QUIJOTE TFGI and plans for LSPE-Strip
The Large Scale Polarization Explorer (LSPE) project, funded by the Italian Space Agency (ASI), includes the development of LSPE-Strip, a ground-based radio telescope for observing Cosmic Microwave Background (CMB) anisotropies. LSPE-Strip, nearing its construction phase, will operate from the Teide Observatory in Tenerife, employing 49 coherent polarimeters at 43 GHz to deliver critical data on CMB anisotropies and 6 channels at 95 GHz as atmospheric monitor. On-site characterization of such a…

Multi-plateau high-harmonic generation in liquids driven by off-site recombination
Angana Mondal, Ofer Neufeld, Tadas Balciunas, Benedikt Waser, Serge M\"uller, Mariana Rossi, Zhong Yin, Angel Rubio, Nicolas Tancogne-Dejean, Hans Jakob W\"orner
https://arxiv.org/abs/2506.23945 …

Multi-plateau high-harmonic generation in liquids driven by off-site recombination
Non-perturbative high-harmonic generation (HHG) has recently been observed in the liquid phase, where it was demonstrated to have a different physical mechanism compared to gas and solid phases of matter. The currently best physical picture for liquid HHG eliminates scattered-electron contributions and identifies on-site recombination as the dominant contributor. This mechanism accurately predicts the cut-off energy and its independence of the driving laser wavelength and intensity. However, th…

Site-Specific Location Calibration and Validation of Ray-Tracing Simulator NYURay at Upper Mid-Band Frequencies
Mingjun Ying, Dipankar Shakya, Peijie Ma, Guanyue Qian, Theodore S. Rappaport
https://arxiv.org/abs/2507.22027

Site-Specific Location Calibration and Validation of Ray-Tracing Simulator NYURay at Upper Mid-Band Frequencies
Ray-tracing (RT) simulators are essential for wireless digital twins, enabling accurate site-specific radio channel prediction for next-generation wireless systems. Yet, RT simulation accuracy is often limited by insufficient measurement data and a lack of systematic validation. This paper presents site-specific location calibration and validation of NYURay, NYU's in-house ray tracer, at upper mid-band frequencies (6.75 GHz and 16.95 GHz). We propose a location calibration algorithm that correc…

Quantum Variational Transformer Model for Enhanced Cancer Classification
Don Roosan, Rubayat Khan, Md Rahatul Ashakin, Tiffany Khou, Saif Nirzhor, Mohammad Rifat Haider
https://arxiv.org/abs/2506.21641

Quantum Variational Transformer Model for Enhanced Cancer Classification
Accurate prediction of cancer type and primary tumor site is critical for effective diagnosis, personalized treatment, and improved outcomes. Traditional models struggle with the complexity of genomic and clinical data, but quantum computing offers enhanced computational capabilities. This study develops a hybrid quantum-classical transformer model, incorporating quantum attention mechanisms via variational quantum circuits (VQCs) to improve prediction accuracy. Using 30,000 anonymized cancer s…

Prediction of Protein Three-dimensional Structures via a Hardware-Executable Quantum Computing Framework
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng-Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng
https://arxiv.org/abs/2506.22677

Prediction of Protein Three-dimensional Structures via a Hardware-Executable Quantum Computing Framework
Accurate prediction of protein active site structures remains a central challenge in structural biology, particularly for short and flexible peptide fragments where conventional methods often fail. Here, we present a quantum computing framework specifically developed for utility-level quantum processors to address this problem. Starting from an amino acid sequence, we formulate the structure prediction task as a ground-state energy minimization problem using the Variational Quantum Eigensolver …

Confined Circumstellar Material as a Dust Formation Site in Type II Supernovae
Yuki Takei, Kunihito Ioka, Masaru Shibata
https://arxiv.org/abs/2507.22763 https://

Confined Circumstellar Material as a Dust Formation Site in Type II Supernovae
We propose a model for dust formation in Type II supernovae (SNe) interacting with confined circumstellar material (CSM), motivated by recent time-domain surveys that have revealed a substantial fraction of SN progenitors to be surrounded by CSM ejected shortly before core-collapse. We simulate the pre-SN mass eruption and the resulting confined CSM using the open-source code CHIPS, and follow the subsequent evolution of the SN ejecta and its interaction with the CSM. We show that a cold dense …

Integrable 3-site, tilted, extended Bose-Hubbard model with nearest-neighbour interactions
Jon Links
https://arxiv.org/abs/2506.21789 https://

Integrable 3-site, tilted, extended Bose-Hubbard model with nearest-neighbour interactions
Extended Bose-Hubbard models have been employed in the study of cold-atom systems with dipolar interactions. It is shown that, for a certain choice of the coupling parameters, there exists an an integrable extended 3-site Bose-Hubbard model with nearest-neighbour interactions. A Bethe Ansatz procedure is developed to obtain expressions for the energy spectrum and eigenstates.

Electron Transport in One-Dimensional Disordered Lattice
V. Slavin, Y. Savin, M. Klimov, M. Kiyashko
https://arxiv.org/abs/2506.22452 https://

Electron Transport in One-Dimensional Disordered Lattice
We have studied the peculiarities of electron transport in one-dimensional (1D) disordered chain at the presence of correlations between on-site interaction and tunneling integrals. In the considered models the disorder in host-lattice sites positions is caused by presence of defects, impurities, existence of electron-phonon interaction, e.t.c. It is shown, that for certain combination of parameters the localization of electron state, inherited by a various of 1D disordered systems, disappear a…

VisText-Mosquito: A Multimodal Dataset and Benchmark for AI-Based Mosquito Breeding Site Detection and Reasoning
Md. Adnanul Islam, Md. Faiyaz Abdullah Sayeedi, Md. Asaduzzaman Shuvo, Muhammad Ziaur Rahman, Shahanur Rahman Bappy, Raiyan Rahman, Swakkhar Shatabda
https://arxiv.org/abs/2506.14629

VisText-Mosquito: A Multimodal Dataset and Benchmark for AI-Based Mosquito Breeding Site Detection and Reasoning
Mosquito-borne diseases pose a major global health risk, requiring early detection and proactive control of breeding sites to prevent outbreaks. In this paper, we present VisText-Mosquito, a multimodal dataset that integrates visual and textual data to support automated detection, segmentation, and reasoning for mosquito breeding site analysis. The dataset includes 1,828 annotated images for object detection, 142 images for water surface segmentation, and natural language reasoning texts linked…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based...
Obumneme Zimuzor Nwafor, Mohammed Abdul Majeed Al Hooti

Entanglement across scales: Quantics tensor trains as a natural framework for renormalization
Stefan Rohshap, Jheng-Wei Li, Alena Lorenz, Serap Hasil, Karsten Held, Anna Kauch, Markus Wallerberger
https://arxiv.org/abs/2507.19069

Entanglement across scales: Quantics tensor trains as a natural framework for renormalization
Understanding entanglement remains one of the most intriguing problems in physics. While particle and site entanglement have been studied extensively, the investigation of length or energy scale entanglement, quantifying the information exchange between different length scales, has received far less attention. Here, we identify the quantics tensor train (QTT) technique, a matrix product state-inspired approach for overcoming computational bottlenecks in resource-intensive numerical calculations…

Cluster dynamics modeling of hydrogen saturation retention in tungsten with a universal trapping-site sink strength
Yuanyuan Zhang, Xiaoru Chen Chuanguo Zhang, Yonggang Li
https://arxiv.org/abs/2507.20121

Cluster dynamics modeling of hydrogen saturation retention in tungsten with a universal trapping-site sink strength
Hydrogen isotope (HI) retention poses a key issue for tungsten (W)-based plasma-facing materials (PFMs) in fusion devices, where microstructures such as dislocations (DLs) and grain boundaries (GBs) play a dominant role. Existing theoretical sink strength models for microstructures like DLs and GBs fail to account for the observed saturation of HI retention. In this study, we propose a novel universal trapping-site model that dynamically represents sink strengths as time-dependent site concentr…

Ligand Pose Generation via QUBO-Based Hotspot Sampling and Geometric Triplet Matching
Pei-Kun Yang
https://arxiv.org/abs/2507.20304 https://arxiv.org/pdf/2…

Ligand Pose Generation via QUBO-Based Hotspot Sampling and Geometric Triplet Matching
We propose a framework based on Quadratic Unconstrained Binary Optimization (QUBO) for generating plausible ligand binding poses within protein pockets, enabling efficient structure-based virtual screening. The method discretizes the binding site into a grid and solves a QUBO problem to select spatially distributed, energetically favorable grid points. Each ligand is represented by a three-atom geometric contour, which is aligned to the selected grid points through rigid-body transformation, pr…

A Computational Approach for Modeling Platelet Adhesion Dynamics on Thrombogenic Surfaces
Ali Lotfian, Ehsan Roohi
https://arxiv.org/abs/2505.18936 https:/…

A Computational Approach for Modeling Platelet Adhesion Dynamics on Thrombogenic Surfaces
Platelet adhesion and aggregation are essential for primary hemostasis, forming a clot that quickly stops initial bleeding. Despite this critical role, the dynamic interactions of platelet receptors with exposed collagen and von Willebrand factor (vWF) at the injury site and how these interactions influence thrombus formation under varying blood flow conditions are not fully understood. This study aimed to investigate the mechanisms of platelet adhesion and aggregation on collagen- or vWF-coate…

Entropy of self-avoiding branching polymers: mean field theory and Monte Carlo simulations
Davide Marcato, Achille Giacometti, Amos Maritan, Angelo Rosa
https://arxiv.org/abs/2506.22315

Entropy of self-avoiding branching polymers: mean field theory and Monte Carlo simulations
We study the statistics of branching polymers with excluded-volume interactions, by modeling them as single self-avoiding trees on a generic regular periodic lattice with coordination number $q$. Each lattice site can be occupied at most by one tree node, and the fraction of occupied sites can vary from dilute to dense conditions. By adopting the statistics of directed trees as a proxy for that of undirected trees without internal loops and by an exact mapping of the model into a field theory, …

Just learned about NYC Local Law 144 which requires bias audits for hiring decisions
https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page
(From younger, more principled brother; happy birthday dkg!)
I am really interes…

Chase-escape with conversion as a multiple sclerosis lesion model
Emma Bailey, Erin Beckman, Sara\'i Hern\'andez-Torres, Matthew Junge, Aanjaneya Kumar, Ann Lee, Danny Li, tahda queer, Alisher Raufov, Lily Reeves, Omer Rondel
https://arxiv.org/abs/2507.21235

Chase-escape with conversion as a multiple sclerosis lesion model
We introduce conversion to the stochastic process known as chase-escape in an effort to model aspects of inflammatory damage from multiple sclerosis. We prove monotonicity results for aggregate damage for the model on the positive integers, trees, stars, and the complete graph. Additionally, we establish the existence and asymptotic order of a phase transition on bounded degree graphs with a non-trivial site percolation threshold.

A Third Paradigm for LLM Evaluation: Dialogue Game-Based Evaluation using clembench
David Schlangen, Sherzod Hakimov, Jonathan Jordan, Philipp Sadler
https://arxiv.org/abs/2507.08491

A Third Paradigm for LLM Evaluation: Dialogue Game-Based Evaluation using clembench
There are currently two main paradigms for evaluating large language models (LLMs), reference-based evaluation and preference-based evaluation. The first, carried over from the evaluation of machine learning models in general, relies on pre-defined task instances, for which reference task executions are available. The second, best exemplified by the LM-arena, relies on (often self-selected) users bringing their own intents to a site that routes these to several models in parallel, among whose r…

Linking Multi-Site Sex Ad Data at the Individual Level to Aid Counter-Trafficking Efforts
Nickolas K. Freeman, Gregory J. Bott, Burcu B. Keskin, Jason M. Parton, James J. Cochran
https://arxiv.org/abs/2507.13477

Linking Multi-Site Sex Ad Data at the Individual Level to Aid Counter-Trafficking Efforts
The Internet facilitates sex trafficking through adult service websites (ASWs) that host online advertisements for sexual services (sex ads). Since the closure of the popular site Backpage.com, the ecosystem of ASWs has expanded to include multiple competing sites that are hosted outside US jurisdiction. Gaining intelligence for counter-trafficking efforts requires collecting, linking, and cleaning the data from multiple sites. However, high ad volumes, disparate data types, and the existence o…

More sites like this: https://infosec.exchange/@gabe_sky/114558396307371647
I have:
https://countdown.codevoid.net

I updated my website's list of links to add @USERNAME@WEBSITE to every social media account I own.
This way, it’s clearer what my name is and which site it belongs to. It might look like federation, but it’s not on most sites; it just works as a placeholder.
Read more here: https://midtsveen.codeberg.page

Low-metallicity nova explosions: a site for weak rp-process nucleosynthesis
Athanasios Psaltis, Jordi Jos\'e, Richard Longland, Christian Iliadis
https://arxiv.org/abs/2506.15162

Low-metallicity nova explosions: a site for weak rp-process nucleosynthesis
Classical novae are common cataclysmic events involving a binary system of a white dwarf and a main sequence or red giant companion star. In metal-poor environments, these explosions produce ejecta different from their solar counterparts due to the accretion of sub-solar metallicity material onto the white dwarf. In particular, it has been suggested that the nucleosynthesis flow in such low-metallicity nova explosions extends up to the Cu-Zn region, much beyond the expected endpoint, around Ca,…

EUISS, #Publication #ChaillotPaper 186
Unpowering Russia: How the EU can counter and undermine the Kremlin Metadata
22 May 2025
site:

Learning-based safety lifting monitoring system for cranes on construction sites
Hao Chen, Yu Hin Ng, Ching-Wei Chang, Haobo Liang, Yanke Wang
https://arxiv.org/abs/2506.20475

Learning-based safety lifting monitoring system for cranes on construction sites
Lifting on construction sites, as a frequent operation, works still with safety risks, especially for modular integrated construction (MiC) lifting due to its large weight and size, probably leading to accidents, causing damage to the modules, or more critically, posing safety hazards to on-site workers. Aiming to reduce the safety risks in lifting scenarios, we design an automated safe lifting monitoring algorithm pipeline based on learning-based methods, and deploy it on construction sites. T…

Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisements
Joel Nitu, Heidrun M\"uhle, Andreas St\"ockl
https://arxiv.org/abs/2507.12844

Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisements
Autonomous multimodal language models are rapidly evolving into web agents that can browse, click, and purchase items on behalf of users, posing a threat to display advertising designed for human eyes. Yet little is known about how these agents interact with ads or which design principles ensure reliable engagement. To address this, we ran a controlled experiment using a faithful clone of the news site TT.com, seeded with diverse ads: static banners, GIFs, carousels, videos, cookie dialogues, a…

GOLIATH: A Decentralized Framework for Data Collection in Intelligent Transportation Systems
Davide Maffiola, Stefano Longari, Michele Carminati, Mara Tanelli, Stefano Zanero
https://arxiv.org/abs/2506.10665

GOLIATH: A Decentralized Framework for Data Collection in Intelligent Transportation Systems
Intelligent Transportation Systems (ITSs) technology has advanced during the past years, and it is now used for several applications that require vehicles to exchange real-time data, such as in traffic information management. Traditionally, road traffic information has been collected using on-site sensors. However, crowd-sourcing traffic information from onboard sensors or smartphones has become a viable alternative. State-of-the-art solutions currently follow a centralized model where only the…

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff
J\'er\^ome Emery, Ali Hasanzadeh Karkan, Jean-Fran\c{c}ois Frigon, Fran\c{c}ois Leduc-Primeau
https://arxiv.org/abs/2507.18587

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff
Deep learning (DL) has emerged as a solution for precoding in massive multiple-input multiple-output (mMIMO) systems due to its capacity to learn the characteristics of the propagation environment. However, training such a model requires high-quality, local datasets at the deployment site, which are often difficult to collect. We propose a transformer-based foundation model for mMIMO precoding that seeks to minimize the energy consumption of the transmitter while dynamically adapting to per-use…

Translational dynamics of lipid-coated microbubbles driven by ultrasound
Marco Cattaneo, Outi Supponen
https://arxiv.org/abs/2506.16413 https://

Translational dynamics of lipid-coated microbubbles driven by ultrasound
Ultrasound-driven microbubbles are increasingly being investigated for both molecular imaging and therapeutic applications. To be effective, these bubbles must be brought into close proximity or direct contact with the target site. Leveraging the acoustic radiation force provides a powerful strategy to direct their movement. In this study, we examine the translational dynamics of a microbubble with unprecedented accuracy by simultaneously time-resolving both its radial and translational respons…

A Gross-Pitaevskii theory for an excitonic incompressible Bose solid
Sara Conti, Andrey Chaves, Alexander R. Hamilton, Jacques Tempere, Milorad V. Milosevic, David Neilson
https://arxiv.org/abs/2507.20236

A Gross-Pitaevskii theory for an excitonic incompressible Bose solid
We show that interlayer excitons in double-layer semiconductor heterostructures can form a Bose solid, which is an incompressible supersolid characterized by exactly one boson per lattice site. This exciton Bose solid would be the first realization of an incompressible supersolid, unlike the generally compressible cluster supersolids seen in dipolar quantum gases. Capturing its characteristics and associated emergent phenomena requires extending the Gross-Pitaevskii formalism to include strong …

Energy Management for Renewable-Colocated Artificial Intelligence Data Centers
Siying Li, Lang Tong, Timothy D. Mount
https://arxiv.org/abs/2507.08011 http…

Energy Management for Renewable-Colocated Artificial Intelligence Data Centers
We develop an energy management system (EMS) for artificial intelligence (AI) data centers with colocated renewable generation. Under a profit-maximizing framework, the EMS of renewable-colocated data center (RCDC) co-optimizes AI workload scheduling, on-site renewable utilization, and electricity market participation. Within both wholesale and retail market participation models, the economic benefit of the RCDC operation is maximized. Empirical evaluations using real-world traces of electricit…

Entanglement dynamics in minimal Kitaev chains
Vimalesh Kumar Vimal, Jorge Cayao
https://arxiv.org/abs/2507.17586 https://arxiv.org/pdf/2507.17586

Entanglement dynamics in minimal Kitaev chains
Minimal Kitaev chains host Majorana quasiparticles, which, although not topologically protected, exhibit spatial nonlocality and hence expected to be useful for quantum information tasks. In this work, we consider two- and three-site Kitaev chains and investigate the dynamics of bipartite and multipartite entanglement by means of concurrence and geometric measure of entanglement. In two-site Kitaev chains, we find that maximally entangled states can robustly emerge, with their stability and per…

A Multimodal Data Fusion Generative Adversarial Network for Real Time Underwater Sound Speed Field Construction
Wei Huang, Yuqiang Huang, Yanan Wu, Tianhe Xu, Junting Wang, Hao Zhang
https://arxiv.org/abs/2507.11812

A Multimodal Data Fusion Generative Adversarial Network for Real Time Underwater Sound Speed Field Construction
Sound speed profiles (SSPs) are essential parameters underwater that affects the propagation mode of underwater signals and has a critical impact on the energy efficiency of underwater acoustic communication and accuracy of underwater acoustic positioning. Traditionally, SSPs can be obtained by matching field processing (MFP), compressive sensing (CS), and deep learning (DL) methods. However, existing methods mainly rely on on-site underwater sonar observation data, which put forward strict req…

Investigating CO Adsorption on Cu(111) and Rh(111) Surfaces Using Machine Learning Exchange-Correlation Functionals
Xinyuan Liang, Renxi Liu, Mohan Chen
https://arxiv.org/abs/2507.21789

Investigating CO Adsorption on Cu(111) and Rh(111) Surfaces Using Machine Learning Exchange-Correlation Functionals
The "CO adsorption puzzle", a persistent failure of utilizing generalized gradient approximations (GGA) in density functional theory to replicate CO's experimental preference for top-site adsorption on transition-metal surfaces, remains a critical barrier in surface chemistry. While hybrid functionals such as HSE06 partially resolve this discrepancy, their prohibitive computational cost limits broader applications. We tackle this issue by adopting the Deep Kohn-Sham (DeePKS) method to train mac…

STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
Yinfang Chen, Jiaqi Pan, Jackson Clark, Yiming Su, Noah Zheutlin, Bhavya Bhavya, Rohan Arora, Yu Deng, Saurabh Jha, Tianyin Xu
https://arxiv.org/abs/2506.02009

STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
In cloud-scale systems, failures are the norm. A distributed computing cluster exhibits hundreds of machine failures and thousands of disk failures; software bugs and misconfigurations are reported to be more frequent. The demand for autonomous, AI-driven reliability engineering continues to grow, as existing humanin-the-loop practices can hardly keep up with the scale of modern clouds. This paper presents STRATUS, an LLM-based multi-agent system for realizing autonomous Site Reliability Engine…

Scalable Spatiotemporal Modeling for Bicycle Count Prediction
Rishikesh Yadav, Alexandra M. Schmidt, Aurelie Labbe, Pratheepa Jeganathan, Luis F. Miranda-Moreno
https://arxiv.org/abs/2506.07582

Scalable Spatiotemporal Modeling for Bicycle Count Prediction
We propose a novel sparse spatiotemporal dynamic generalized linear model for efficient inference and prediction of bicycle count data. Assuming Poisson distributed counts with spacetime-varying rates, we model the log-rate using spatiotemporal intercepts, dynamic temporal covariates, and site-specific effects additively. Spatiotemporal dependence is modeled using a spacetime-varying intercept that evolves smoothly over time with spatially correlated errors, and coefficients of some temporal co…

I nearly gave my credit card to a legit-looking Maine business, until I noticed their “privacy policy” linked to Wikipedia. That’s not laziness but AI-generated HTML vibecoded into place without review. And a lot more can go wrong than a missing legal page.
https://www.

Perception of Brain-Computer Interface Implantation Surgery for Motor, Sensory, and Autonomic Restoration in Spinal Cord Injury and Stroke
Derrick Lin, Tracie Tran, Shravan Thaploo, Jose Gabrielle E. Matias, Joy E. Pixley, Zoran Nenadic, An H. Do
https://arxiv.org/abs/2507.11572

Perception of Brain-Computer Interface Implantation Surgery for Motor, Sensory, and Autonomic Restoration in Spinal Cord Injury and Stroke
(Abridged) Stroke and SCI are conditions that can significantly impact the QoL of survivors in both the physical and psychosocial domains. Both diseases often result in significant motor and sensory impairments that are not fully reversible despite current available therapies. Invasive BCIs have emerged as a promising means to bypass the site of injury and potentially restore motor and sensory function. However, to maximize the utility and participant satisfaction with such technology, particip…

Machine learning approaches for automatic cleaning of investigative drilling data
Fei Huang (Flinders University), Hongyu Qin (Flinders University), Masoud Manafi (Civil Group), Ben Juett (Civil Group), Ben Evans (Civil Group)
https://arxiv.org/abs/2506.14289

Machine learning approaches for automatic cleaning of investigative drilling data
Investigative drilling (ID) is an innovative measurement while drilling (MWD) technique that has been implemented in various site investigation projects across Australia. While the automated drilling feature of ID substantially reduces noise within drilling data streams, data cleaning remains essential for removing anomalies to enable accurate strata classification and prediction of soil and rock properties. This study employed three machine learning algorithms--IsoForest, one-class SVM, and DB…

Modeling Feasible Locomotion of Nanobots for Cancer Detection and Treatment
Noble Harasha, Cristina Gava, Nancy Lynch, Claudia Contini, Frederik Mallmann-Trenn
https://arxiv.org/abs/2507.12400

Modeling Feasible Locomotion of Nanobots for Cancer Detection and Treatment
Deploying motile nanosized particles, also known as ``nanobots'', in the human body promises to improve selectivity in drug delivery and reduce side effects. We consider a swarm of nanobots locating a single cancerous region and treating it by releasing an onboard payload of drugs at the site. At nanoscale, the computation, communication, sensing, and locomotion capabilities of individual agents are extremely limited, noisy, and/or nonexistent. We present a general model to formally describe …

Assessment of the AlUla Manara astronomical site in Saudi Arabia using ECMWF ERA5 Reanalysis data
G. Lombardi, G. Fildes, O. Cuevas, T. Y. Alrefay, N. Almalik
https://arxiv.org/abs/2507.15572

Assessment of the AlUla Manara astronomical site in Saudi Arabia using ECMWF ERA5 Reanalysis data
As part of Saudi Arabia Vision 2030 and under the guidance of the Royal Commission for AlUla (RCU), efforts are underway to establish AlUla Manara as the Kingdom first major astronomical observatory. This study presents a preliminary assessment of the site based on ECMWF ERA5 reanalysis data to evaluate its suitability for hosting a 4m-class optical-IR telescope. AlUla Manara is located on a remote plateau 74 km north of the historical town of AlUla and was recently designated as an Internation…

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
Samuel G. Carter, Infiter Tathfif, Charity Burgess, Brenda VanMil, Suryakanti Debata, Pratibha Dev
https://arxiv.org/abs/2506.17478

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
The silicon vacancy ($V_{Si}$) in 4H-SiC at its cubic site (V2-center) has shown significant promise for quantum technologies, due to coherent spin states, the mature material system, and stable optical emission. In these SiC-based applications, doping plays a crucial role. It can be used to control the charge state of $V_{Si}$ and formation of different types of defects. Despite its importance, there has been little research on the effects of doping. In this work, we perform a study of the eff…

Topologically protected edge oscillations in nonlinear dynamical units
Sayantan Nag Chowdhury, Hildegard Meyer-Ortmanns
https://arxiv.org/abs/2506.18699 ht…

Topologically protected edge oscillations in nonlinear dynamical units
Many examples from quantum and classical physics are known where topological protection is responsible for the robustness of the dynamics. Less explored is the role of topological protection in the context of classical oscillatory systems. As on-site dynamics, we consider prototypical oscillator models with possible applications in biochemical systems. However, our choice of coupling geometry is inspired by models from condensed matter physics which -- in isolation -- guarantee non-trivial topo…

Impact of 3D macro physics and nuclear physics on the p nuclei in O-C shell mergers
Joshua Issa, Falk Herwig, Pavel Denissenkov, Marco Pignatari
https://arxiv.org/abs/2507.16965

Impact of 3D macro physics and nuclear physics on the p nuclei in O-C shell mergers
O-C shell mergers in massive stars are a site for producing the p nuclei by the $γ$ process, but 1D stellar models rely on mixing length theory, which does not match the radial velocity profiles of 3D hydrodynamic simulations. We investigate how 3D macro physics informed mixing impacts the nucleosynthesis of p nuclei. We post-process the O-shell of the $M_\mathrm{ZAMS} = 15~\mathrm{M}_\odot$, $Z = 0.02$ model from the NuGrid stellar data set. Applying a downturn to velocities at the boundary a…

Scalable and Tunable In-Plane Ge/Si(001) Nanowires Grown by Molecular Beam Epitaxy
Jian-Huan Wang, Ming Ming, Ding-Ming Huang, Jie-Yin Zhang, Yi Luo, Bin-Xiao Fu, Yi-Xin Chu, Yuan Yao, Hongqi Xu, Jian-Jun Zhang
https://arxiv.org/abs/2506.20465

Scalable and Tunable In-Plane Ge/Si(001) Nanowires Grown by Molecular Beam Epitaxy
Germanium nanostructures offer significant potential in developing advanced integrated circuit and disruptive quantum technologies, yet achieving both scalability and high carrier mobility remains a challenge in materials science. Here, we report an original low-temperature epitaxial method for growth of site-controlled in-plane germanium nanowires with high hole mobility by molecular beam epitaxy. By reducing the growth temperature, we effectively suppress Si-Ge interdiffusion, ensuring pure g…

Dopant-induced stabilization of three-dimensional charge order in cuprates
Zheting Jin, Sohrab Ismail-Beigi
https://arxiv.org/abs/2507.17048 https://arxiv.…

Dopant-induced stabilization of three-dimensional charge order in cuprates
We investigate the microscopic mechanisms behind the stabilization of three-dimensional (3D) charge order by Pr doping in YBa$_2$Cu$_3$O$_7$ (YBCO7). Density-functional-theory calculations locate the lowest-energy Pr superlattices for both Ba- and Y-site substitution. In the Ba-site case, the smaller Pr ion pulls the surrounding atoms inward. This breathing-mode distortion pins charge-stripe walls to the Pr columns and forces them to align along the $c$ axis. Y-site Pr is larger than the host i…

State transfer analysis for linear spin chains with non-uniform on-site energies
Chad C. Nelmes, Irene D'Amico, Timothy P. Spiller
https://arxiv.org/abs/2507.13261

State transfer analysis for linear spin chains with non-uniform on-site energies
High fidelity state transfer is an important ingredient of distributed quantum information processing. We present and analyse results on perfect and quasi-perfect state transfer with linear spin chains incorporating non-uniform on-site energies. The motivation is maintenance of coupling uniformity, which could be beneficial for some physical implementations. We relate this coupling uniformity to a particle in a discrete potential analogue. Our analysis further considers the statistical variatio…

Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
Nguyen-Khang Le, Quan Minh Bui, Minh Ngoc Nguyen, Hiep Nguyen, Trung Vo, Son T. Luu, Shoshin Nomura, Minh Le Nguyen
https://arxiv.org/abs/2506.02529

Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
Web applications are critical to modern software ecosystems, yet ensuring their reliability remains challenging due to the complexity and dynamic nature of web interfaces. Recent advances in large language models (LLMs) have shown promise in automating complex tasks, but limitations persist in handling dynamic navigation flows and complex form interactions. This paper presents an automated system for generating test cases for two key aspects of web application testing: site navigation and form …

Replaced article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- RAPID-Net: Accurate Pocket Identification for Binding-Site-Agnostic Docking
Yaroslav Balytskyi, Inna Hubenko, Alina Balytska, Christopher V. Kelly

Site-Specific Parameterization of Ocean Spectra for Power Estimates of Wave Energy Converters
Rafael Baez Ramirez (Sandia National Laboratories), Ethan J. Sloan (University of New Mexico), Carlos Alejandro Michel\'en Str\"ofer (Sandia National Laboratories)
https://arxiv.org/abs/2507.05440…

Site-Specific Parameterization of Ocean Spectra for Power Estimates of Wave Energy Converters
Estimating the mean annual power of a wave energy converter (WEC) through the method of bins relies on a parametric representation of all possible sea states. In practice, two-parameter spectra based on significant wave height and energy period are ubiquitous. Two-parameter spectra have been shown insufficient in capturing the range of spectral shapes that can occur in an actual ocean environment. Furthermore, through sensitivity analysis, these two-parameters have been shown to be insufficient…

A torsion theoretic interpretation for sheaves of modules and Grothendieck topologies on directed categories
Zhenxing Di, Liping Li, Li Liang
https://arxiv.org/abs/2506.08685

A torsion theoretic interpretation for sheaves of modules and Grothendieck topologies on directed categories
We prove that every Grothendieck topology induces a hereditary torsion pair in the category of presheaves of modules on a ringed site, and obtain a homological characterization of sheaves of modules: a presheaf of modules is a sheaf of modules if and only if it is saturated with respect to torsion presheaves, or equivalently, it is right perpendicular to torsion presheaves in the sense of Geigle and Lenzing. We also study Grothendieck topologies on directed categories $\mathscr{C}$, and show th…

How universal is the mean-field universality class for percolation in complex networks?
Lorenzo Cirigliano
https://arxiv.org/abs/2506.17175 https://…

How universal is the mean-field universality class for percolation in complex networks?
Clustering and degree correlations are ubiquitous in real-world complex networks. Yet, understanding their role in critical phenomena remains a challenge for theoretical studies. Here, we provide the exact solution of site percolation in a model for strongly clustered random graphs, with many overlapping loops and heterogeneous degree distribution. We systematically compare the exact solution with mean-field predictions obtained from a treelike random rewiring of the network, which preserves on…

Discovering the Higgsino at CTAO-North within the Decade
Shotaro Abe, Tomohiro Inada, Emmanuel Moulin, Nicholas L. Rodd, Benjamin R. Safdi, Weishuang Linda Xu
https://arxiv.org/abs/2506.08084

Discovering the Higgsino at CTAO-North within the Decade
We demonstrate that higgsino dark matter (DM) could be discovered within the next few years using the Cherenkov Telescope Array Observatory's soon-to-be-operational northern site (CTAO-North). A 1.1 TeV thermal higgsino is a highly motivated yet untested model of DM. Despite its strong theoretical motivation in supersymmetry and beyond, the higgsino is notoriously difficult to detect; it lies deep within the neutrino fog of direct detection experiments and could pose a challenge even for a futu…

Far-field directionality control of coupled InP nanowire lasers
Lukas R. J\"ager (Friedrich Schiller University Jena, Australian National University), Wei Wen Wong (Australian National University), Carsten Ronning (Friedrich Schiller University Jena), Hark Hoe Tan (Australian National University)
https://arxiv.org/abs/2507.18416

Far-field directionality control of coupled InP nanowire lasers
Nanowire (NW) lasers hold great promise as compact, coherent on-chip light sources that are crucial for next-generation optical communication and imaging technologies. However, controlling their emission directionality has been hindered by the complexities of lasing mode engineering and fabrication. Here, we demonstrate spatially-engineered far-field emission from vertically emitting InP NW lasers by establishing precise control over the optical coupling between site-selective NWs, without rely…

Quantitative U/Th deposition and cleanliness control strategies in the JUNO site air
Jie Zhao, Chenyang Cui, Yongpeng Zhang, Gaosong Li, Nan Wang, Monica Sisti
https://arxiv.org/abs/2507.05759

Quantitative U/Th deposition and cleanliness control strategies in the JUNO site air
The Jiangmen underground neutrino observatory (JUNO) is made of a 20 kt liquid scintillator (LS) detector at a depth of 700 m underground. In order to meet all physics requirements, the $^{238}$U/$^{232}$Th content in the LS is required to reach a level of 10$^{-17}$ g/g. However, the radioactivity of dust in the air is about 12 orders of magnitude higher than that, so there is an extremely high requirement for the cleanliness of the installation environment on site. In this study, a clean room…

Big Bird: Privacy Budget Management for W3C's Privacy-Preserving Attribution API
Pierre Tholoniat, Alison Caulfield, Giorgio Cavicchioli, Mark Chen, Nikos Goutzoulias, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias L\'ecuyer, Martin Thomson
https://arxiv.org/abs/2506.05290

Big Bird: Privacy Budget Management for W3C's Privacy-Preserving Attribution API
Privacy-preserving advertising APIs like Privacy-Preserving Attribution (PPA) are designed to enhance web privacy while enabling effective ad measurement. PPA offers an alternative to cross-site tracking with encrypted reports governed by differential privacy (DP), but current designs lack a principled approach to privacy budget management, creating uncertainty around critical design decisions. We present Big Bird, a privacy budget manager for PPA that clarifies per-site budget semantics and in…

On physical considerations regarding development and validation of Heat Flux Partitioning models: application to vertical boiling flows simulations
Luc Favre (IMFT, EDF R&D MFEE), Catherine Colin (IMFT), S. Pujet (EDF R&D MFEE), St\'ephane Mimouni (EDF R&D MFEE)
https://arxiv.org/abs/2507.12478

On physical considerations regarding development and validation of Heat Flux Partitioning models: application to vertical boiling flows simulations
As part of a critical assessment of wall boiling modeling through Heat Flux Partitioning approach, a new model dedicated to vertical boiling flows is proposed, with a revisited partitioning including a boiling heat flux related to bubble coalescence. Closure laws include a recent model for bubble dynamics, a new correlation for the bubble maximum lift-off diameter, and comprehensive selection of existing models for nucleation site density and bubble wait time. Each formulation are compared to r…

Simulating the interplay of dipolar and quadrupolar interactions in NMR by spin dynamic mean-field theory
Timo Gr\"a{\ss}er, G\"otz S. Uhrig
https://arxiv.org/abs/2507.17720

Simulating the interplay of dipolar and quadrupolar interactions in NMR by spin dynamic mean-field theory
The simulation of nuclear magnetic resonance (NMR) experiments is a notoriously difficult task, if many spins participate in the dynamics. The recently established dynamic mean-field theory for high-temperature spin systems (spinDMFT) represents an efficient yet accurate method to deal with this scenario. SpinDMFT reduces a complex lattice system to a time-dependent single-site problem, which can be solved numerically with small computational effort. Since the approach retains local quantum deg…

Multipole order in two-dimensional altermagnets
Tenta Tani, Ulrich Z\"ulicke
https://arxiv.org/abs/2507.18020 https://arxiv.org/pdf/2507.18020

Multipole order in two-dimensional altermagnets
We theoretically investigate the magnetic-multipole orders in two-dimensional (2D) altermagnets, focusing on two representative models: a generic minimal three-site model, and a four-site model representative of monolayer FeSe. We construct low-energy effective Hamiltonians for both systems and calculate their respective multipole indicators to characterize the underlying magnetic order. Our analysis reveals an intriguing contrast between the two systems. We find that the generic minimal model …

Inhibition of whisker growth by crafting more decomposition-resistant Ti2SnC MAX phase through vanadium solid solution
Haifeng Tang, Xiaodan Yin, Peigen Zhang, Victor Karpov, Vamsi Borra, Zhihua Tian, Wei Zheng, Jianxiang Ding, ZhengMing Sun
https://arxiv.org/abs/2506.15802

Inhibition of whisker growth by crafting more decomposition-resistant Ti2SnC MAX phase through vanadium solid solution
The exceptional synergy of ceramic and metallic properties within MAX phases positions them as highly promising for a wide array of applications. However, their stability has been threatened by the phenomenon of A-site metal whisker growth. Herein, we have significantly mitigated tin whisker growth in Ti2SnC by incorporating vanadium solutes at its M-site. With an increase in vanadium concentration, there is a marked reduction in the degree of decomposition of the M-site solid solution when sub…

Abrupt transitions in the optimization of diffusion with distributed resetting
Pedro Juli\'an-Salgado, Leonardo Dagdug, Denis Boyer
https://arxiv.org/abs/2507.14483

Abrupt transitions in the optimization of diffusion with distributed resetting
Brownian diffusion subject to stochastic resetting to a fixed position has been widely studied for applications to random search processes. In an unbounded domain, the mean first passage time at a target site can be minimized for a convenient choice of the resetting rate. Here we study this optimization problem in one dimension when resetting occurs to random positions, chosen from a distribution with compact support that does not include the target. Depending on the shape of this distribution,…

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
Jigang Fan, Quanlin Wu, Shengjie Luo, Liwei Wang
https://arxiv.org/abs/2506.03237

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
The detection of ligand binding sites for proteins is a fundamental step in Structure-Based Drug Design. Despite notable advances in recent years, existing methods, datasets, and evaluation metrics are confronted with several key challenges: (1) current datasets and methods are centered on individual protein-ligand complexes and neglect that diverse binding sites may exist across multiple complexes of the same protein, introducing significant statistical bias; (2) ligand binding site detection …

Digital-Twin Empowered Site-Specific Radio Resource Management in 5G Aerial Corridor
Pulok Tarafder, Imtiaz Ahmed, Danda B. Rawat, Md. Zoheb Hassan, Kamrul Hasan
https://arxiv.org/abs/2507.04566

Digital-Twin Empowered Site-Specific Radio Resource Management in 5G Aerial Corridor
Base station (BS) association and beam selection in multi-cell drone corridor networks present unique challenges due to the high altitude, mobility and three-dimensional movement of drones. These factors lead to frequent handovers and complex beam alignment issues, especially in environments with dense BS deployments and varying signal conditions. To address these challenges, this paper proposes a channel-twin (CT) enabled resource-allocation framework for drone-corridor communications, where t…

Neutron Star-White Dwarf Merger as One Possible Optional Source of Kilonova-like Emission: Implications for GRB 211211A
Xiao-Xuan Liu, Hou-Jun L\"u, Qiu-Hong Chen, Zhao-Wei Du, En-Wei Liang
https://arxiv.org/abs/2507.04318

Neutron Star-White Dwarf Merger as One Possible Optional Source of Kilonova-like Emission: Implications for GRB 211211A
Long-duration GRB 211211A, which lacked an associated supernova at such a low redshift $z=0.076$, but was associated with a possible kilonova emission, has attracted great attention. The neutron star-white dwarf (NS-WD) merger is proposed as a possible progenitor of GRB 211211A, and it could naturally explain the long duration of the prompt emission. However, the NS-WD merger is not an ideal site for producing heavy elements via r-process nucleosynthesis. In this Letter, we investigate the heav…

Incentivizing Collaborative Breach Detection
Mridu Nanda, Michael K. Reiter
https://arxiv.org/abs/2506.04634 https://arxiv.org/pdf/25…

Incentivizing Collaborative Breach Detection
Decoy passwords, or "honeywords," alert a site to its breach if they are ever entered in a login attempt on that site. However, an attacker can identify a user-chosen password from among the decoys, without risk of alerting the site to its breach, by performing credential stuffing, i.e., entering the stolen passwords at another site where the same user reused her password. Prior work has thus proposed that sites monitor for the entry of their honeywords at other sites. Unfortunately, it is not …

Slip-tendency analysis of a potential CO2 storage site in the central German North Sea
Hendrawan D. B. Aji, Fabian J\"ahne-Klingberg, Heidrun L. St\"uck, Frank Wuttke, Petia Dineva
https://arxiv.org/abs/2507.12897

Slip-tendency analysis of a potential CO2 storage site in the central German North Sea
Underground CO2 storage operations may lead to induced seismicity, which can be partially related to nearby affected faults. Considering the storage potential in the Middle Buntsandstein sandstone formation on the West Schleswig Block within the German North Sea, we investigate the reactivation and seismicity potential of existing faults in the vicinity of a selected study area. For this, we develop a 3D fault data set based on roughly 80 2D seismic lines, combining 60 years of exploration hist…

Flat Midgap Topological Surface and Hypersurface Bands without Parameter Tuning
Keun Hyuk Ahn
https://arxiv.org/abs/2506.16554 https://

Flat Midgap Topological Surface and Hypersurface Bands without Parameter Tuning
The Su-Schrieffer-Heeger model is extended to the three and higher dimensional systems. Nearly or absolutely flat midgap surface and hypersurface bands are predicted based on the topological analysis, which do not require fine tuning of parameters. By adding the on-site Coulomb interaction for the three dimensional systems, we computationally show that the large difference in the band widths between the surface and the bulk leads to the strongly correlated phenomena, specifically magnetism, con…

Finitely Correlated States Driven by Topological Dynamics
Eric B. Roon, Jeffrey H. Schenker
https://arxiv.org/abs/2507.07287 https://…

Finitely Correlated States Driven by Topological Dynamics
Let $(Ω, ¶)$ be a standard probability space and let $\vartheta:Ω\to Ω$ be a measure preserving ergodic homeomorphism. Let $\mathcal{A}$ be a $C^*$-algebra with a unit and let $\mathcal{A}_{\mathbb{Z}}$ be the quasi-local algebra associated to the spin chain with one-site algebra $\mathcal{A}$. Equip $\mathcal{A}_{\mathbb{Z}}$ with the group action of translation by $k$-units, $τ_k\in Aut(\mathcal{A}_{\mathbb{Z}})$ for $k\in \mathbb{Z}$. We study the problem of finding a disordered matrix …

Experimental Ground-State Energy of a 125-Site Flat Kagome Antiferromagnet via Hamiltonian Engineering on Quantum Computer
Muhammad Ahsan
https://arxiv.org/abs/2507.06361

Experimental Ground-State Energy of a 125-Site Flat Kagome Antiferromagnet via Hamiltonian Engineering on Quantum Computer
We present an instance of utility-grade quantum computation by calculating the ground-state energy of a 125-site flat Kagome lattice under the antiferromagnetic Heisenberg model (KAFH), using IBM's Falcon and Hummingbird quantum processors. For spin-1/2 KAFH, our best per-site ground-state energy estimate reaches -0.417J, and after applying open-boundary corrections, it closely approaches the established thermodynamic value of -0.438J. To achieve this, we propose a hybrid approach that splits t…

Particle detection among Random Walks as a non-reversible Random Interlacements Process
Gonzalo Panizo, Carlos Mart\'inez
https://arxiv.org/abs/2507.14816

Particle detection among Random Walks as a non-reversible Random Interlacements Process
Consider the random set composed of particles initially distributed on Zd, d >= 2, according to a Poisson point process of intensity u > 0 and moving as independent simple symmetric random walks, the trap particles. We are interested in the detection by these particles of a target particle, initially at the origin and able to move with finite mean speed. The escape strategy for the target particle is to stay inside the infinite cluster of empty sites, assuming u is in the subcritical site perco…

Learning the non-Markovian features of subsystem dynamics
Michele Coppola, Mari Carmen Ba\~nuls, Zala Lenar\v{c}i\v{c}
https://arxiv.org/abs/2507.14133 htt…

Learning the non-Markovian features of subsystem dynamics
The dynamics of local observables in a quantum many-body system can be formally described in the language of open systems. The problem is that the bath representing the complement of the local subsystem generally does not allow the common simplifications often crucial for such a framework. Leveraging tensor network calculations and optimization tools from machine learning, we extract and characterize the dynamical maps for single- and two-site subsystems embedded in an infinite quantum Ising ch…

The near infrared airglow continuum conundrum. Constraints for ground-based faint object spectroscopy
J. K. M. Viuho (Cosmic Dawn Center, Niels Bohr Institute, University of Copenhagen, Jagtvej 155A, DK-2200, Copenhagen N, Denmark, Nordic Optical Telescope, Rambla Jose Ana Fernandez Perez 7, ES-38711 Brena Baja, Spain, Department of Physics and Astronomy, Aarhus University, Munkegade 120, DK-8000 Aarhus C, Denmark), J. P. U. Fynbo (Cosmic Dawn Center, Niels Bohr Institute, University of Copenhagen, Jagtvej 155A, DK-2200, Copenhagen N, Denmark), M. I. Andersen (Cosmic Dawn Center, Niels Bohr Institute, University of Copenhagen, Jagtvej 155A, DK-2200, Copenhagen N, Denmark)
#toXiv_bot_toot

Optimized Gutzwiller Projected States for Doped Antiferromagnets in Fermi-Hubbard Simulators
Christian Reinmoser, Muqing Xu, Lev Haldar Kendrick, Anant Kale, Youqi Gang, Martin Lebrat, Markus Greiner, Fabian Grusdt, Annabelle Bohrdt
https://arxiv.org/abs/2506.11227

Optimized Gutzwiller Projected States for Doped Antiferromagnets in Fermi-Hubbard Simulators
In quantum many-body physics, one aims to understand emergent phenomena and effects of strong interactions, ideally by developing a simple theoretical picture. Recently, progress in quantum simulators has enabled the measurement of site resolved snapshots of Fermi-Hubbard systems at finite doping on square as well as triangular lattice geometries. These experimental advances pose the quest for theorists to analyze the ensuing data in order to gain insights into these prototypical, strongly corr…

Dis-GEN: Disordered crystal structure generation
Martin Hoffmann Petersen, Ruiming Zhu, Haiwen Dai, Savyasanchi Aggarwal, Nong Wei, Andy Paul Chen, Arghya Bhowmik, Juan Maria Garcia Lastra, Kedar Hippalgaonkar
https://arxiv.org/abs/2507.18275

Dis-GEN: Disordered crystal structure generation
A wide range of synthesized crystalline inorganic materials exhibit compositional disorder, where multiple atomic species partially occupy the same crystallographic site. As a result, the physical and chemical properties of such materials are dependent on how the atomic species are distributed among the corresponding symmetrical sites, making them exceptionally challenging to model using computational methods. For this reason, existing generative models cannot handle the complexities of disorde…

This https://arxiv.org/abs/2412.17831 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

High-resolution urban air pollution and thermal comfort mapping: an application of drive mobile sensing platform for smart city services
Air pollutant exposure exhibits significant spatial and temporal variability, with localized hotspots, particularly in traffic microenvironments, posing health risks to commuters. Although widely used for air quality assessment, fixed-site monitoring stations are limited by sparse distribution, high costs, and maintenance needs, making them less effective in capturing on-road pollution levels. This study utilizes a fleet of 314 taxis equipped with sensors to measure NO\textsubscript{2}, PM\text…

\nu-QSSEP: A toy model for entanglement spreading in stochastic diffusive quantum systems
Vincenzo Alba
https://arxiv.org/abs/2507.11674 https://

ν-QSSEP: A toy model for entanglement spreading in stochastic diffusive quantum systems
We investigate out-of-equilibrium entanglement dynamics in a generalization of the so-called $QSSEP$ model, which is a free-fermion chain with stochastic in space and time hopping amplitudes. In our setup, the noisy amplitudes are spatially-modulated satisfying a $ν$-site translation invariance but retaining their randomness in time. For each noise realization, the dynamics preserves Gaussianity, which allows to obtain noise-averaged entanglement-related quantities. The statistics of the stead…

Complex single-site magnetism and magnetotransport in single-crystalline Gd$_{2}$AlSi$_{3}$
Ram Kumar, Shanta R. Saha, Jarryd Horn, A. Ikeda, Danila Sokratov, Yash Anand, Prathum Saraf, Ryan Dorman, E. Hemley, K. K. Iyer, Johnpierre Paglione
https://arxiv.org/abs/2506.14687

Complex single-site magnetism and magnetotransport in single-crystalline Gd$_{2}$AlSi$_{3}$
We present a detailed investigation of single-crystal samples of the magnetic compound Gd$_{2}$AlSi$_{3}$, which crystallizes in the $α$-ThSi$_2$ type tetragonal structure. We report the temperature and magnetic field dependence of the magnetic susceptibility, magnetization, heat capacity, electrical resistivity, and magnetoresistance for magnetic fields applied along both the tetragonal $c$-axis and in the basal $ab$-plane. X-ray diffraction measurements confirm a centrosymmetric, $I4_{1}/amd…

Additive Manufacturing of Lunar Regolith for Reconfigurable Building Blocks toward Lunar Habitation
Cole McCallum, Youwen Liang, Nahid Tushar, Ben Xu, Bo Zhao, Hao Zeng, Wan Shou
https://arxiv.org/abs/2506.06392

Additive Manufacturing of Lunar Regolith for Reconfigurable Building Blocks toward Lunar Habitation
Utilizing locally available materials is a crucial step towards sustainable planetary habitation. Lunar regolith has gained tremendous interest in additive manufacturing in the past decades. However, due to the constrained manufacturing facilities and materials on the moon, many existing additive manufacturing methods are not suitable for practical on-site manufacturing. Here, we envision that light-based direct sintering of lunar regolith can be a feasible approach. Instead of directly manufac…

Analytic toolkit for the Anderson model with arbitrary disorder
Oleg Evnin
https://arxiv.org/abs/2507.06903 https://arxiv.org/pdf/250…

Analytic toolkit for the Anderson model with arbitrary disorder
The Anderson model in one dimension is a quantum particle on a discrete chain of sites with nearest-neighbor hopping and random on-site potentials. It is a progenitor of many further models of disordered systems, and it has spurred numerous developments in diverse branches of physics. The literature is silent, however, on practical analytic tools for computing the density-of-states of this model when the distribution of the on-site potentials is arbitrary. Here, supersymmetry-based techniques a…

Representation of Archimedean Networks and Inclusion: Computational Applications to Percolation and Network Transitions
Auro Anibal Torres, Jos\'e Antonio Ramirez-Pastor
https://arxiv.org/abs/2507.12229

Representation of Archimedean Networks and Inclusion: Computational Applications to Percolation and Network Transitions
We present an alternative geometric representation for the eleven Archimedean lattices, in which each site and bond is uniquely labeled by an ordered pair of integers and characterized via a modular function. This structured labeling enables efficient and systematic implementation of computational models on these lattices, without relying on ad hoc indexing, and provides a versatile framework for future studies on regular tilings. As an application, we obtain, for each Archimedean lattice, th…

Site-resolved magnon and triplon dynamics on a programmable quantum dot spin ladder
Pablo Cova Fari\~na, Daniel Jirovec, Xin Zhang, Elizaveta Morozova, Stefan D. Oosterhout, Stefano Reale, Tzu-Kan Hsiao, Giordano Scappucci, Menno Veldhorst, Lieven M. K. Vandersypen
https://arxiv.org/abs/2506.08663

Site-resolved magnon and triplon dynamics on a programmable quantum dot spin ladder
Quasi-particle dynamics in interacting systems in the presence of disorder challenges the notion of internal thermalization, but proves difficult to investigate theoretically for large particle numbers. Engineered quantum systems may offer a viable alternative, as witnessed in experimental demonstrations in a variety of physical platforms, each with its own capabilities and limitations. Semiconductor gate-defined quantum dot arrays are of particular interest since they offer both a direct mappi…

How to Bridge the Sim-to-Real Gap in Digital Twin-Aided Telecommunication Networks
Clement Ruah, Houssem Sifaou, Osvaldo Simeone, Bashir M. Al-Hashimi
https://arxiv.org/abs/2507.07067

How to Bridge the Sim-to-Real Gap in Digital Twin-Aided Telecommunication Networks
Training effective artificial intelligence models for telecommunications is challenging due to the scarcity of deployment-specific data. Real data collection is expensive, and available datasets often fail to capture the unique operational conditions and contextual variability of the network environment. Digital twinning provides a potential solution to this problem, as simulators tailored to the current network deployment can generate site-specific data to augment the available training datase…

More on Intractability of Thermalization: (almost) i.i.d. inputs and finite lattices
Keiji Matsumoto
https://arxiv.org/abs/2507.02601 https://

More on Intractability of Thermalization: (almost) i.i.d. inputs and finite lattices
This work is an extention of Shiraishi and Matsumoto [10], and discusses the computational complexity of the long-term average of local observables in one-dimensional lattices with shift-invariant nearest-neighbor interactions for simple initial states. As shown in the previous paper, the problem is generally intractable. In this paper we refine the statement further. First, we consider restriction of the initial state, where the state of all the sites are the same except for a single site. We …

Walking on Archimedean Lattices: Insights from Bloch Band Theory
Davidson Noby Joseph, Igor Boettcher
https://arxiv.org/abs/2507.12662 https://

Walking on Archimedean Lattices: Insights from Bloch Band Theory
Returning walks on a lattice are sequences of moves that start at a given lattice site and return to the same site after $n$ steps. Determining the total number of returning walks of a given length $n$ is a typical graph-theoretical problem with connections to lattice models in statistical and condensed matter physics. We derive analytical expressions for the returning walk numbers on the eleven two-dimensional Archimedean lattices by developing a connection to the theory of Bloch energy bands.…

This https://arxiv.org/abs/2412.13320 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Density Matrix Renormalization Group simulations of the SU(N) Fermi-Hubbard chain implementing the full SU(N) symmetry via Semi-Standard Young Tableaux and Unitary Group Subduction Coefficients
We have developed an efficient method for performing density matrix renormalization group (DMRG) simulations of the SU(N) Fermi-Hubbard chain with open boundary conditions, fully leveraging the SU(N) symmetry of the problem. This method extends a previously developed approach for the SU(N) Heisenberg model and relies on the systematic use of the semi-standard Young tableaux (SSYT) basis in a DMRG algorithm `a la White. Specifically, the method aligns the site-by-site growth process of the infin…

Universal band center model for the HER activity of non-metal site
Ruixin Xu, Shiqian Cao, Tingting Bo, Yanyu Liu, Wei Zhou
https://arxiv.org/abs/2506.02567

Universal band center model for the HER activity of non-metal site
In this work, the hydrogen evolution reaction activities of non-metal sites in the transition metal dichalcogenides with the stoichiometry of MX2 are investigated using the first principles calculations. The trained machine learning model demonstrates that the pz band center, bandgap, and period effect are the key factors influencing the HER activity of MX2. Furthermore, it also reveals that the observed non-scaling law between the pz band center and HER activity in the semiconductor-like mater…

Replaced article(s) found for cond-mat.stat-mech. https://arxiv.org/list/cond-mat.stat-mech/new/
[1/1]:
Random site percolation thresholds on square lattice for complex neighborhoods containing sites u...

Si Intercalation Beneath Epitaxial Graphene: Modulating Mott States at the SiC(0001) Interface
Niclas Tilgner, Zamin Mamiyev, Susanne Wolff, Philip Sch\"adlich, Fabian G\"ohler, Christoph Tegenkamp, Thomas Seyller
https://arxiv.org/abs/2506.07545

Si Intercalation Beneath Epitaxial Graphene: Modulating Mott States at the SiC(0001) Interface
Intercalation has proven to be a powerful tool for tailoring the electronic properties of freestanding graphene layers as well as for stabilizing the intercalated material in a two-dimensional configuration. This work examines Si intercalation of epitaxial graphene on SiC(0001) using three preparation methods. Dangling bond states at the interface were found to undergo a Mott-Hubbard metal-insulator transition as a result of a significant on-site repulsion. Comparing this heterostructure consis…

Bath parameterization in multi-band cluster Dynamical Mean-Field Theory
Diego Florez-Ablan, Carlos Mejuto-Zaera, Massimo Capone
https://arxiv.org/abs/2506.05848

Bath parameterization in multi-band cluster Dynamical Mean-Field Theory
Accurate and reliable algorithms to solve complex impurity problems are instrumental to a routine use of quantum embedding methods for material discovery. In this context, we employ an efficient selected configuration interaction impurity solver to investigate the role of bath discretization -- specifically, bath size and parameterization -- in Hamiltonian-based cluster dynamical mean field theory (CDMFT) for the one- and two-orbital Hubbard models. We consider two- and four-site lattices for t…