Tootfinder

Don't mind me, just over here escape-routing this BGA inside out

LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
Zhiqing Tang, Wentao Peng, Jianxiong Guo, Jiong Lou, Hanshuai Cui, Tian Wang, Yuan Wu, Weijia Jia
https://arxiv.org/abs/2506.03694

LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
Lightweight containers provide an efficient approach for deploying computation-intensive applications in network edge. The layered storage structure of container images can further reduce the deployment cost and container startup time. Existing researches discuss layer sharing scheduling theoretically but with little attention paid to the practical implementation. To fill in this gap, we propose and implement a Layer-aware and Resource-adaptive container Scheduler (LRScheduler) in edge computin…

"So, I climbed to the top of the pyramid of pain - now what?"
An interesting Human Layer Kill Chain framework.
#threatintel #threatintelligence
🔗

Pressure-Driven Metallicity in {\AA}ngstr\"om-Thickness 2D Bismuth and Layer-Selective Ohmic Contact to MoS2
Shuhua Wang, Shibo Fang, Qiang Li, Yunliang Yue, Zongmeng Yang, Xiaotian Sun, Jing Lu, Chit Siong Lau, L. K. Ang, Lain-Jong Li, Yee Sin Ang
https://arxiv.org/abs/2506.05133

Pressure-Driven Metallicity in Ångström-Thickness 2D Bismuth and Layer-Selective Ohmic Contact to MoS2
Recent fabrication of two-dimensional (2D) metallic bismuth (Bi) via van der Waals (vdW) squeezing method opens a new avenue to ultrascaling metallic materials into the ångström-thickness regime [Nature 639, 354 (2025)]. However, freestanding 2D Bi is typically known to exhibit a semiconducting phase [Nature 617, 67 (2023), Phys. Rev. Lett. 131, 236801 (2023)], which contradicts with the experimentally observed metallicity in vdW-squeezed 2D Bi. Here we show that such discrepancy originates f…

Spin-glass state in nickelate superconductors
David R. Saykin, Martin Gonzalez, Jennifer Fowlie, Steven A. Kivelson, Harold Hwang, Aharon Kapitulnik
https://arxiv.org/abs/2506.03262

Spin-glass state in nickelate superconductors
Magneto-optical measurements in La${}_{0.8}$Sr${}_{0.2}$NiO${}_2$ and Nd${}_{0.825}$Sr${}_{0.175}$NiO${}_2$ reveal an intriguing new facet of infinite-layer nickelate superconductors: the onset of spin-glass behavior at a temperature far exceeding the superconducting critical temperature $T_c$. This discovery sharply contrasts with copper oxide superconductors, where magnetism and superconductivity remain largely exclusive. Moreover, the magnitude and onset temperature of the polar Kerr effect …

I had no idea that seeing institutions like the family and marriage as authoritarian was actually a core anarchist principle for thinkers like Rudolf Rocker.
Realizing this now, it’s striking how my own instincts since my early childhood have always lined up with anarchism’s rejection of all forms of social coercion and imposed authority, even in the most intimate parts of life.
Guess that’s another layer peeled back, the more you learn, the clearer it gets.

This https://arxiv.org/abs/2412.12106 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

The Syncytial Mesh Model: A Biophysical Framework for Scale-Dependent Coherence in the Brain
The brain-mesh model introduces a novel three-layered architecture that integrates local and macro-regional connectivity with an underlying, mesh-inspired network layer. This foundational mesh layer, based on metallic mesh structures, spans the entire brain and generates interference patterns, noise, and resonance effects that modulate both local and global neural dynamics. The fused model goes beyond traditional connectivity frameworks by providing a unified explanation for phenomena such as b…

Estimation of Exciton Binding Energy and lifetime for Mono-layer Transition Metal Dichalcogenides
Rohit Ramesh Nimje, Swati G, Ashutosh Mahajan
https://arxiv.org/abs/2506.05075

Estimation of Exciton Binding Energy and lifetime for Mono-layer Transition Metal Dichalcogenides
In this work, we present a mathematical model for the Wannier-Mott exciton in monolayers of transition metal dichalcogenides such as $WS_2$, $WSe_2$, $MoS_2$, $MoSe_2$ that estimates the radiation lifetime in the effective mass approximation. We calculate exciton energy, and binding energy by solving the Schrodinger wave equation with open boundary conditions to obtain quasi-bound states in the confined direction in the monolayer and decay rates by the Fermi-Golden rule. The proposed model uses…

On the Role of Early-Termination for Age of Information in Tree-Based Random Access Protocols
Andrea Munari, Cedomir Stefanovic
https://arxiv.org/abs/2506.04793

On the Role of Early-Termination for Age of Information in Tree-Based Random Access Protocols
Age of Information (AoI) has emerged as a key metric for assessing data freshness in IoT applications, where a large number of devices report time-stamped updates to a monitor. Such systems often rely on random access protocols based on variations of ALOHA at the link layer, where collision resolution algorithms play a fundamental role to enable reliable delivery of packets. In this context, we provide the first analytical characterization of average AoI for the classical Capetanakis tree-based…

#today at uni. Managed to debug the slightly vexing heat loss problem in my bungalow-2 model in progress. It turns out that I had the new roof segments on 'upside down' even though they have only one layer and are actually walls. (Don't ask ... yet... Maybe I'll understand what I'm doing in a few months!)

Dynamics of Wound Closure in Living Nematic Epithelia
Henry Andralojc, Jake Turley, Helen Weavers, Paul Martin, Isaac V. Chenchiah, Rachel R. Bennett, Tanniemola B. Liverpool
https://arxiv.org/abs/2506.04922

Dynamics of Wound Closure in Living Nematic Epithelia
We study theoretically the closure of a wound in a layer of epithelial cells in a living tissue after damage. Our analysis is informed by our recent experiments observing re-epithelialisation in vivo of Drosophila pupae. On time and length-scales such that the evolution of the epithelial tissue near the wound is well captured by that of a 2D active fluid with local nematic order, we consider the free-surface problem of a hole in a bounded region of tissue, and study the role that active stresse…

Mapping the reddening plane in the Galactic disk through interstellar extinction of open clusters
Yogesh C. Joshi (ARIES)
https://arxiv.org/abs/2506.04460 …

Mapping the reddening plane in the Galactic disk through interstellar extinction of open clusters
As thousands of new open clusters in the Galaxy have recently been reported with reddening or extinction information, we map the distribution and properties of the Galaxy's interstellar material in the Galactic disk as traced by these open clusters. By analyzing the distribution of interstellar extinction for 6215 open clusters located at low Galactic latitude b <= 6 deg, corresponding to the thin Galactic disk, we identify a reddening plane characterized by a dust layer whose thickness varies …

Single-layer Circular SIW Filtenna With Beam Scanning Capability for 5G Millimeter Wave Communication Applications
Jiawang Li
https://arxiv.org/abs/2506.00361

Single-layer Circular SIW Filtenna With Beam Scanning Capability for 5G Millimeter Wave Communication Applications
In this communication, two novel low-cost single-layer filtering antennas (filtennas) are proposed for millimeter wave (mmWave) applications. The proposed filtennas consists of a compact circular substrate integrated waveguide (SIW) cavity, a metal post close to the center of the cavity for power feeding, a metal post in the center for modes controlling, and a slot for radiating power. In the passband, the fundamental TM010 mode and the TM110 mode in the circular SIW cavity are excited by the f…

Enhanced zeta potentials caused by surface ion mobilities
Evgeny S. Asmolov, Elena F. Silkina, Olga I. Vinogradova
https://arxiv.org/abs/2506.02915 https:/…

Enhanced zeta potentials caused by surface ion mobilities
The electro-hydrodynamics near conducting walls is revisited. Attention is focused on the impact of an explicit diffuse Stern layer, which permittivity and viscosity differ from the bulk values, on the velocity of an electro-osmotic plug flow. To solve this problem we propose an approach of mapping the flow in the Stern layer to the surface dividing the Stern and diffuse layer, where an effective electro-hydrodynamic slip boundary condition is imposed. The latter implies that an effective surfa…

Tungsten erosion and scrape-off layer transport modelling in L-mode helium plasma discharges in ASDEX Upgrade
G. Alberti, E. Tonello, C. Tuccari, F. Mombelli, S. Brezinsek, T. Dittmar, A. Hakola, A. Kirschner, K. Krieger, M. Rasinski, J. Romazanov, A. Uccello, A. Widdowson, M. Passoni, the ASDEX Upgrade Team, the EUROfusion Tokamak Exploitation Team
…

Tungsten erosion and scrape-off layer transport modelling in L-mode helium plasma discharges in ASDEX Upgrade
Due to its unavoidable presence in thermonuclear DT plasmas and to its peculiar effects on materials, investigating the role of helium (He) in plasma-wall interaction (PWI) in current tokamaks is fundamental. In this work, PWI in L-mode He plasma discharges in ASDEX Upgrade (AUG) is modelled by exploiting simplified analytical approaches and two state-of-the-art codes. SOLPS-ITER is employed both to provide a suitable background plasma for erosion simulations and to interpret diagnostics measur…

So, I climbed to the top of the pyramid of pain -- now what?
Vasilis Katos, Emily Rosenorn-Lanng, Jane Henriksen-Bulmer, Ala Yankouskaya
https://arxiv.org/abs/2505.24685

So, I climbed to the top of the pyramid of pain -- now what?
This paper explores the evolving dynamics of cybersecurity in the age of advanced AI, from the perspective of the introduced Human Layer Kill Chain framework. As traditional attack models like Lockheed Martin's Cyber Kill Chain become inadequate in addressing human vulnerabilities exploited by modern adversaries, the Humal Layer Kill Chain offers a nuanced approach that integrates human psychology and behaviour into the analysis of cyber threats. We detail the eight stages of the Human Layer Ki…

Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
Christian Tinauer, Maximilian Sackl, Stefan Ropele, Christian Langkammer
https://arxiv.org/abs/2506.03890

Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
Deep learning models have shown strong performance in classifying Alzheimer's disease (AD) from R2* maps, but their decision-making remains opaque, raising concerns about interpretability. Previous studies suggest biases in model decisions, necessitating further analysis. This study uses Layer-wise Relevance Propagation (LRP) and spectral clustering to explore classifier decision strategies across preprocessing and training configurations using R2* maps. We trained a 3D convolutional neural net…

X-ray Irradiation Studies on the Monopix DMAPS in 150$\,$nm and 180$\,$nm
Christian Bespin, Marlon Barbero, Pierre Barrillon, Patrick Breugnon, Ivan Caicedo, Yavuz Degerli, Jochen Dingfelder, Tomasz Hemperek, Toko Hirono, Hans Kr\"uger, Fabian H\"ugging, Konstantinos Moustakas, Patrick Pangaud, Heinz Pernegger, Petra Riedler, Piotr Rymaszewski, Lars Schall, Philippe Schwemling, Walter Snoeys, Tianyang Wang, Norbert Wermes, Sinou Zhang

X-ray Irradiation Studies on the Monopix DMAPS in 150$\,$nm and 180$\,$nm
Monolithic active pixel sensors with depleted substrates present a promising option for pixel detectors in high-radiation environments. High-resistivity silicon substrates and high bias voltage capabilities in commercial CMOS technologies facilitate depletion of the charge sensitive volume. TJ-Monopix2 and LF-Monopix2 are the most recent large-scale chips in their respective development line, aiming for the ATLAS Inner Tracker outer layer requirements. Those include a tolerance to ionizing radi…

This https://arxiv.org/abs/2411.14831 has been replaced.
initial toot: https://mastoxiv.page/@a…

Coexistence of gapless and gapped vortex modes with Majorana corner states in a 2D second-order topological superconductor
Although the appearance of vortex-localized states with zero energy in first-order topological superconductors is well known, their possibility to form in the higher-order topological phase of 2D systems has not been completely uncovered yet. Here we demonstrate the coexistence of zero-energy vortex modes and Majorana corner modes in the model of a 2D second-order topological superconductor. The model describes an interface between a normal layer supporting the topological insulating phase and …

This https://arxiv.org/abs/2505.17212 has been replaced.
initial toot: https://mastoxiv.page/@a…

Engineering Altermagnetism via Layer Shifts and Spin Order in Bilayer MnPS$_3$
We investigate how stacking configuration and magnetic ordering determine the magnetic phases of bilayer MnPS$_3$, using density-functional theory and spin-Laue symmetry analysis. While monolayer MnPS$_3$ is a collinear antiferromagnet with no spin splitting, our calculations show that the bilayer can host either Type II (AFM) or Type III (altermagnetic) phases depending sensitively on stacking and spin alignment. We focus on two representative stackings: AA, where the top layer sits directly a…

paris_transportation: Paris Transportation (2016)
A multiplex transportation network of Ile-de-France, jointly representing the road network, train network, and subway network. Nodes are intersections, rail stations or metro stations. Different modes of transportation are given by different layers. Within-layer edges represent direct transference by a particular mode of transportation, and between-layer edges represent the conjunction of those layers at that node.
This network ha…

This https://arxiv.org/abs/2409.15055 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Efficient Large-Scale Quantum Optimization via Counterdiabatic Ansatz
Quantum Approximate Optimization Algorithm (QAOA) is one of the fundamental variational quantum algorithms, while a version of QAOA that includes counterdiabatic driving, termed Digitized Counterdiabatic QAOA (DC-QAOA), is generally considered to outperform QAOA for all system sizes when the circuit depth for the two algorithms are held equal. Nevertheless, DC-QAOA introduces more CNOT gates per layer, so the overall circuit complexity is a tradeoff between the number of CNOT gates per layer an…

A simple GUI-based screencast demo of the @… AI Layer (OPAL), showing what’s now possible via MCP A2A—namely, composing and orchestrating agentic workflows through loosely coupled software.
How?
An Agent Host routes tasks to Agents via A2A. Agents then invoke MCP-accessible tools (functions, procedures, APIs) described using JSON/YAML and exposed …

Design, performance and future prospects of vertex detectors at the FCC-ee
Armin Ilg, Fabrizio Palla
https://arxiv.org/abs/2506.02675 https://

Design, performance and future prospects of vertex detectors at the FCC-ee
The CERN proposed $e^+e^-$ Future Circular Collider (FCC-ee) is an electroweak, flavour, Higgs and top factory with unprecedented luminosities. Many measurements at the FCC-ee will rely on precisely determining the particle production vertices using dedicated vertex detectors. All vertex detector designs use Monolithic Active Pixel Sensors (MAPS) with a single-hit resolution of $\approx$ 3 $μ$m and a material budget as low as 0.3% of a radiation length per detection layer, which is within spec…

From afar, I'm loving the currently viral tiktok/insta livecoding genre started by Char Stiles, Jade Rowland and DJ Dave - tersely explaining all the functions of a set of strudel patterns, quickly building up a banging euphoric track while trying to suppress emotions enough to speak
I would love to see a version of this but the outcome is totally chaotic noise music that makes no sense where the person just has to shout over it to try to be heard while adding layer on layer of pat…

This https://arxiv.org/abs/2301.00610 has been replaced.
link: https://scholar.google.com/scholar?q=a

Charging dynamics of electric double layer nanocapacitors in mean-field
An electric double layer capacitor (EDLC) stores energy by modulating the spatial distribution of ions in the electrolytic solution that it contains. We determine the mean-field time scales for planar EDLC relaxation to equilibrium, after a potential difference is applied. We tackle first the fully symmetric case, where positive and negative ionic species have same valence and diffusivity, and then the general, more complex, asymmetric case. Depending on applied voltage and salt concentration, …

This https://arxiv.org/abs/2403.05809 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Shallow ReLU neural networks and finite elements
We point out that (continuous or discontinuous) piecewise linear functions on a convex polytope mesh can be represented by two-hidden-layer ReLU neural networks in a weak sense. In addition, the numbers of neurons of the two hidden layers required to weakly represent are accurately given based on the numbers of polytopes and hyperplanes involved in this mesh. The results naturally hold for constant and linear finite element functions. Such weak representation establishes a bridge between shallo…

Efficient and Workload-Aware LLM Serving via Runtime Layer Swapping and KV Cache Resizing
Zhaoyuan Su, Tingfeng Lan, Zirui Wang, Juncheng Yang, Yue Cheng
https://arxiv.org/abs/2506.02006

Efficient and Workload-Aware LLM Serving via Runtime Layer Swapping and KV Cache Resizing
Efficiently serving large language models (LLMs) under dynamic and bursty workloads remains a key challenge for real-world deployment. Existing serving frameworks and static model compression techniques fail to adapt to workload fluctuations, leading to either service-level objective (SLO) violations under full-precision serving or persistent accuracy degradation with static quantization. We present MorphServe, a dynamic, workload-aware LLM serving framework based on morphological adaptation. M…

Leveraging 5G Physical Layer Monitoring for Adaptive Remote Rendering in XR Applications
Inhar Yeregui, Daniel Mej\'ias, Mikel Zorrilla, Roberto Viola, Jasone Astorga, Eduardo Jacob
https://arxiv.org/abs/2505.22123

Leveraging 5G Physical Layer Monitoring for Adaptive Remote Rendering in XR Applications
As immersive eXtended Reality (XR) applications demand substantial network resources, understanding their interaction with 5G networks becomes crucial to improve them. This paper investigates the role of 5G physical-layer monitoring to manage and enhance the remote rendering of XR content dynamically. By observing network metrics directly from the physical layer, we propose a system to adapt streaming parameters such as bitrate, framerate, and resolution in real time based on available network …

This https://arxiv.org/abs/2506.00971 has been replaced.
link: https://scholar.google.com/scholar?q=a

Resonant Tunneling in Tri-layer 2H-MoTe2 grown by Molecular Beam Epitaxy Coupled with layered WSe2 carrier Reservoir
Here, we report a prominent quantum oscillation in the conductance of 2H-MoTe2 based resonant tunneling structure. In this work, a n-WSe2/HfO2/i-MoTe2/HfO2/Au resonant tunneling device (RTD) with a symmetric and asymmetric double barrier has been fabricated using Molecular Beam Epitaxy (MBE) grown 2H-MoTe2 and Chemical Vapor Deposition (CVD) grown 2H-WSe2 along with theoretical modeling by adopting non-equilibrium Green function (NEGF) formalism. The impact of MoTe2-quantum well widths equal, a…

MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation
Yakun Song, Jiawei Chen, Xiaobin Zhuang, Chenpeng Du, Ziyang Ma, Jian Wu, Jian Cong, Dongya Jia, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xie Chen
https://arxiv.org/abs/2506.00385

MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation
Neural audio codecs have made significant strides in efficiently mapping raw audio waveforms into discrete token representations, which are foundational for contemporary audio generative models. However, most existing codecs are optimized primarily for reconstruction quality, often at the expense of the downstream modelability of the encoded tokens. Motivated by the need to overcome this bottleneck, we introduce $\textbf{MagiCodec}$, a novel single-layer, streaming Transformer-based audio codec…

Sensor Fusion Methods for Gaussian Mixture Models
Ishan Paranjape, Islam Hussein, Jeremy Murray-Krezan, Sean Phillips, Suman Chakravorty
https://arxiv.org/abs/2506.00383

Sensor Fusion Methods for Gaussian Mixture Models
Consensus is a popular technique for distributed state estimation. This formulation allows networks of connected agents or sensors to exchange information about the distribution of a set of targets with their immediate neighbors without the need of a centralized node or layer. We present decentralized consensus-based fusion techniques for a system whose target prior estimates are a weighted mixture of Gaussian probability density functions (PDFs) for the following cases: 1) in which all agents …

Beamforming for Secure RSMA-Aided ISAC Systems
Qian Dan, Hongjiang Lei, Ki-Hong Park, Gaofeng Pan
https://arxiv.org/abs/2506.03622 https://

Beamforming for Secure RSMA-Aided ISAC Systems
This work investigates the physical layer security of rate-splitting multiple access (RSMA)-aided integrated communication and sensing (ISAC) systems. The ISAC base station (BS) transmits signals to communicate with users in an eavesdropped scenario and to estimate the parameters of the sensed targets. The research considers different sensing signals under RSMA technology and the Cram{é}r-Rao bound of the parameter estimation is utilized as the sensing metric. With the channel state informatio…

This https://arxiv.org/abs/2505.20448 has been replaced.
initial toot: https://mastoxiv.page/@arX…

In situ photoemission study of collective electronic phase transition in VO2-based heterostructures
We investigated the origin of collective electronic phase transitions induced at the heterointerface between monoclinic insulating (MI) VO2 and rutile metallic (RM) electron-doped VO2 layers using in situ soft x-ray photoelectron spectroscopy (SXPES) on nanoscale VO2/V0.99W0.01O2 (001)R bilayers. Thanks to the surface sensitivity of SXPES, we determined the changes in the electronic structure and V-V dimerization in each constituent layer separately. The selective observation of the electronic …

I'm baffled that this guy is a respected analyst. Yeah, an infinite number of AI agents will spend their money on content from human creators, making those humans infinitely rich. I see no flaws in this model.

paris_transportation: Paris Transportation (2016)
A multiplex transportation network of Ile-de-France, jointly representing the road network, train network, and subway network. Nodes are intersections, rail stations or metro stations. Different modes of transportation are given by different layers. Within-layer edges represent direct transference by a particular mode of transportation, and between-layer edges represent the conjunction of those layers at that node.
This network ha…

This https://arxiv.org/abs/2504.08625 has been replaced.
initial toot: https://mastoxiv.page/@a…

A simple method for detection and quantitative estimation of deep levels in a barrier layer of AlGaN/GaN HEMT structures by analysis of light induced threshold voltage shift
The characterization of deep levels in AlGaN/GaN heterostructures is one of the most important problems in GaN high electron mobility transistors (HEMTs) technology. This work reports on a technique for determination of deep level concentration in AlGaN/GaN HEMT structures. The proposed method is relatively simple, and it is based on the detection of free holes created by optically induced transitions of electrons from the deep levels to the conduction band. The developed method can detect and …

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Z\"ufle, Chandini Raina MacIntyre, Flora D. Salim
https://arxiv.org/abs/2505.22692

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting
Accurate forecasting of avian influenza outbreaks within wild bird populations requires models that account for complex, multi-scale transmission patterns driven by various factors. Spatio-temporal GNN-based models have recently gained traction for infection forecasting due to their ability to capture relations and flow between spatial regions, but most existing frameworks rely solely on spatial connections and their connections. This overlooks valuable genetic information at the case level, su…

This https://arxiv.org/abs/2411.03502 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Adaptive Shock Compensation in the Multi-layer Network of Global Food Production and Trade
Global food production and trade networks are highly dynamic, especially in response to shortages when countries adjust their supply strategies. In this study, we examine adjustments across 123 agri-food products from 192 countries resulting in 23616 individual scenarios of food shortage, and calibrate a multi-layer network model to understand the propagation of the shocks. We analyze shock mitigation actions, such as increasing imports, boosting production, or substituting food items. Our find…

This https://arxiv.org/abs/2303.07859 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Poisson-Nernst-Planck charging dynamics of an electric double layer capacitor: symmetric and asymmetric binary electrolytes
A parallel plate capacitor containing an electrolytic solution is the simplest model of a supercapacitor, or electric double layer capacitor. Using both analytical and numerical techniques, we solve the Poisson-Nernst-Planck equations for such a system, describing the mean-field charging dynamics of the capacitor, when a constant potential difference is abruptly applied to its plates. Working at constant total number of ions, we focus on the physical processes involved in the relaxation and, wh…

Join Andrew Musselman and Trevor Grant as they present the latest developments in Mahout's new quantum compute layer, Qumat. They will provide an overview of the project, explain why Qumat was developed, and demonstrate its current capabilities. They will also present a demo of Qumat in action and conclude with calls to action for researchers and engineers who are interested in using and contributing to the project.
Learn more:

This https://arxiv.org/abs/2501.09805 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task
Modularity is a well-established concept for assessing community structures in various single and multi-layer networks, including those in biological and social domains. Brain networks are known to exhibit community structure at local, meso, and global scale. However, modularity is limited as a metric to a global scale describing the overall strength of community structure, overlooking important variations in community structure at node level. To address this limitation, we extended modularity …

Lattice Boltzmann wall boundary conditions for RANS-based simulations with wall functions
Jorge Ponsin, Carlos Lozano
https://arxiv.org/abs/2506.03905 http…

Lattice Boltzmann wall boundary conditions for RANS-based simulations with wall functions
In this study, we investigate wall boundary condition schemes for Lattice Boltzmann simulations of turbulent flows modeled using RANS equations with wall functions. Two alternative schemes are formulated and assessed: a hybrid regularized boundary condition and a slip-velocity bounce-back scheme. Their performance is evaluated using two canonical turbulent flow cases, a fully developed channel flow and a zero-pressure-gradient flat plate boundary layer (BL), selected specifically to isolate and…

Gravity driven traveling bore wave solutions to the free boundary incompressible Navier-Stokes equations
Noah Stevenson, Ian Tice
https://arxiv.org/abs/2505.24562

Gravity driven traveling bore wave solutions to the free boundary incompressible Navier-Stokes equations
We give the first mathematical construction of two-dimensional traveling bore wave solutions to the free boundary incompressible Navier-Stokes equations for a single finite depth layer of constant density fluid. Our construction is based on a rigorous justification of the formal shallow water limit, which postulates that in a certain scaling regime the full free boundary traveling Navier-Stokes system of PDEs reduces to a governing system of ODEs. We find heteroclinic orbits solving these ODEs …

Adaptive Differential Denoising for Respiratory Sounds Classification
Gaoyang Dong, Zhicheng Zhang, Ping Sun, Minghui Zhang
https://arxiv.org/abs/2506.02505

Adaptive Differential Denoising for Respiratory Sounds Classification
Automated respiratory sound classification faces practical challenges from background noise and insufficient denoising in existing systems. We propose Adaptive Differential Denoising network, that integrates noise suppression and pathological feature preservation via three innovations: 1) Adaptive Frequency Filter with learnable spectral masks and soft shrink to eliminate noise while retaining diagnostic high-frequency components; 2) A Differential Denoise Layer using differential attenti…

Graph neural network model for the era of large atomistic models
Duo Zhang, Anyang Peng, Chun Cai, Wentao Li, Yuanchang Zhou, Jinzhe Zeng, Mingyu Guo, Chengqian Zhang, Bowen Li, Hong Jiang, Tong Zhu, Weile Jia, Linfeng Zhang, Han Wang
https://arxiv.org/abs/2506.01686

Graph neural network model for the era of large atomistic models
Foundation models, or large atomistic models (LAMs), aim to universally represent the ground-state potential energy surface (PES) of atomistic systems as defined by density functional theory (DFT). The scaling law is pivotal in the development of large models, suggesting that their generalizability in downstream tasks consistently improves with increased model size, expanded training datasets, and larger computational budgets. In this study, we present DPA3, a multi-layer graph neural network f…

So it looks like most if not all dual row SFP /SFP28/zSFP cages are integrated connector cage modules that are PTH, even for the data pins.
This feels like it would be stub city... obviously I'd want to do the high speed signals on the back layer but even so I don't like the idea of 25G on PTH pins.
Thoughts? Anyone have experience with this?

CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems
Md Hasibul Amin, Mohammadreza Mohammadi, Jason D. Bakos, Ramtin Zand
https://arxiv.org/abs/2505.22868 …

CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems
In this paper, we propose the CrossNAS framework, an automated approach for exploring a vast, multidimensional search space that spans various design abstraction layers-circuits, architecture, and systems-to optimize the deployment of machine learning workloads on analog processing-in-memory (PIM) systems. CrossNAS leverages the single-path one-shot weight-sharing strategy combined with the evolutionary search for the first time in the context of PIM system mapping and optimization. CrossNAS se…

This https://arxiv.org/abs/2504.18638 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Synchrotron light source focused X-ray detection with LGADs, AC-LGADs and TI-LGADs
The response of Low Gain Avalanche Diodes (LGADs), a type of thin silicon detector with internal gain, to X-rays of energies between 6-16~keV was characterized at the Stanford Synchrotron Radiation Lightsource (SSRL). The utilized beamline at SSRL was 7-2, with a nominal beam size of 30~$μ$m, repetition rate of 500~MHz, and with an energy dispersion $ΔE/E$ of $10^{-4}$. Multi-channel LGADs, AC-LGADs, and TI-LGADs of different thicknesses and gain layer configurations from Hamamatsu Photonics …

This https://arxiv.org/abs/2405.12042 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Attribute-Based Authentication in Secure Group Messaging for Distributed Environments
Messaging Layer security (MLS) and its underlying Continuous Group Key Agreement (CGKA) protocol allows a group of users to share a cryptographic secret in a dynamic manner, such that the secret is modified in member insertions and deletions. Although this flexibility makes MLS ideal for implementations in distributed environments, a number of issues need to be overcome. Particularly, the use of digital certificates for authentication in a group goes against the group members' privacy. In this …

This https://arxiv.org/abs/2506.01402 has been replaced.
initial toot: https://mastoxiv.page/@a…

Sliding Ferroelectrics Induced Hybrid-Order Topological Phase Transitions
We propose ferroelectric layer sliding as a new approach to realize and manipulate topological quantum states in two-dimensional (2D) bilayer magnetic van der Waals materials. We show that stacking monolayer ferromagnetic topological states into layer-spin-locked bilayer antiferromagnetic structures, and introducing sliding ferroelectricity leads to asynchronous topological evolution of different layers (spins) owing to existence of polarization potentials, thereby giving rise to rich layer-res…

Electromagnetically Reconfigurable Antennas for 6G: Enabling Technologies, Prototype Studies, and Research Outlook
Pinjun Zheng, Ruiqi Wang, Yuchen Zhang, Md. Jahangir Hossain, Anas Chaaban, Atif Shamim, Tareq Y. Al-Naffouri
https://arxiv.org/abs/2506.00657

Electromagnetically Reconfigurable Antennas for 6G: Enabling Technologies, Prototype Studies, and Research Outlook
The transition to the sixth-generation (6G) network is anticipated to redefine wireless transceiver architectures, demanding higher adaptability and efficiency at the antenna layer. Electromagnetically reconfigurable antennas (ERAs) have emerged as a promising solution capable of dynamically reconfiguring wireless channels to meet these requirements. This article presents an overview of recent advancements in ERA technology, underscoring its transformative potential for 6G applications. Drawing…

This https://arxiv.org/abs/2505.18975 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization
State Space Models (SSMs), like recent Mamba2, have achieved remarkable performance and received extensive attention. However, deploying Mamba2 on resource-constrained edge devices encounters many problems: severe outliers within the linear layer challenging the quantization, diverse and irregular element-wise tensor operations, and hardware-unfriendly nonlinear functions in the SSM block. To address these issues, this paper presents FastMamba, a dedicated accelerator on FPGA with hardware-algo…

“This is my hole, it was made for me!” Via https://mastodon.ie/@jjcelery/114479860024539427
https://migurski.…

JJ Celery (@jjcelery@mastodon.ie)
Attached: 1 image *chuckles* 😂 (this is a layer 3 meme, I won't be providing an explanation)

eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems
Ruilin Xu, Zongxuan Xie, Pengfei Chen
https://arxiv.org/abs/2506.02007

eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems
We present eACGM, a full-stack AI/ML system monitoring framework based on eBPF. eACGM collects real-time performance data from key hardware components, including the GPU and network communication layer, as well as from key software stacks such as CUDA, Python, and PyTorch, all without requiring any code instrumentation or modifications. Additionally, it leverages libnvml to gather process-level GPU resource usage information. By applying a Gaussian Mixture Model (GMM) to the collected multidime…

The Model Context Protocol acts as a universal translator between LLMs and data sources, eliminating complex platform-specific requirements. Our new open source MCP server for ODBC (mcp-odbc-server) enables seamless integration of any ODBC-accessible data into RAG pipelines.
Read more in my latest newsletter!

What's The Model Context Protocol & Why Is It Important?
The way Large Language Models (LLMs) interact with the vast world of data sources and APIs (Application Programming Interface) is undergoing a significant transformation, thanks to the emergence of the Model Context Protocol (MCP). MCP servers act as a crucial middleware layer, a kind of "universal

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hasan Najafi
https://arxiv.org/abs/2506.00924

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
This paper introduces a dual-layer framework for network operator-side quality of experience (QoE) assessment that integrates both objective network modeling and subjective user perception extracted from live-streaming platforms. On the objective side, we develop a machine learning model trained on mean opinion scores (MOS) computed via the ITU-T P.1203 reference implementation, allowing accurate prediction of user-perceived video quality using only network parameters such as packet loss, delay…

Nanoconfinement Effects on Intermolecular Forces Observed via Dewetting
Tara (Tera), Huang, Evon S. Petek, Reika Katsumata
https://arxiv.org/abs/2506.03387

Nanoconfinement Effects on Intermolecular Forces Observed via Dewetting
Although wettability is a macroscopic manifestation of molecular-level forces, such as van der Waals (vdW) forces, the impact of nanoconfinement on material properties in reduced film thickness remains unexplored in predicting film stability. In this work, we investigate how nanoconfinement influences intermolecular interactions using a model trilayer system composed of a thick polystyrene (PS) base, a poly(methyl methacrylate) (PMMA) middle layer with tunable thickness (15-95 nm), and a 10 nm …

Trainable dynamical masking for readout-free optical computing
S. Bogdanov, E. Manuylovich, S. K. Turitsyn
https://arxiv.org/abs/2505.23464 https://…

Trainable dynamical masking for readout-free optical computing
Nonlinear systems, transforming an input signal into a high-dimensional output feature space, can be used for non-conventional computing. This approach, however, requires a change of system parameters during training rather than coefficients in a software program. We propose here to use available off-the-shelf high-speed optical communication devices and technologies to implement a trainable dynamical mask in addition to or even instead of the traditional readout layer for extreme learning mach…

Group Convolutional Neural Network Ground State of the Quantum Dimer Model
Ojasvi Sharma, Sandipan Manna, Prashant Shekhar Rao, G J Sreejith
https://arxiv.org/abs/2505.23728

Group Convolutional Neural Network Ground State of the Quantum Dimer Model
We estimate the ground state of the square lattice Quantum Dimer Model in a $\rm{p4m}$-symmetric Group Convolutional Neural Network (GCNN) representation and show that results in agreement with exact diagonalization (ED) and quantum Monte Carlo (QMC) can be obtained with a $\mathcal{L}=2$ layer network. In systems of linear size $L=8$ with Hilbert space dimension $3.1\times 10^8$, GCNN shows fidelity as high as $0.99999$ with ED. For $12\leq L\leq 32$, we find excellent agreement with QMC estim…

This https://arxiv.org/abs/2503.14372 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Online ResNet-Based Adaptive Control for Nonlinear Target Tracking
A generalized ResNet architecture for adaptive control of nonlinear systems with black box uncertainties is developed. The approach overcomes limitations in existing methods by incorporating pre-activation shortcut connections and a zeroth layer block that accommodates different input-output dimensions. The developed Lyapunov-based adaptation law establishes exponential convergence to a neighborhood of the target state despite unknown dynamics and disturbances. Furthermore, the theoretical resu…

Modeling the Path of Structural Strategic Deterrence: A Sand Table Simulation and Research Report on China's Military-Industrial Capability System against the United States Based on Rare Earth Supply Disconnection
Wei Meng
https://arxiv.org/abs/2505.21579

Modeling the Path of Structural Strategic Deterrence: A Sand Table Simulation and Research Report on China's Military-Industrial Capability System against the United States Based on Rare Earth Supply Disconnection
This study proposes a systematic non-kinetic deterrence path modeling framework based on strategic rare earth supply cut-off, aiming to assess the strategic effects of China's export control policy against the United States at the military system level. The model adopts a four-layer structure of "policy input -- resource node -- equipment system -- capability output" and integrates path dependency modeling, degradation function design, and capability lag prediction mechanisms to form a strategi…

This https://arxiv.org/abs/2505.09551 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Fast Learning in Quantitative Finance with Extreme Learning Machine
This paper demonstrates that a broad class of problems in quantitative finance, including those previously addressed using deep neural networks, can be efficiently solved using single-layer neural networks without iterative gradient-based training, namely extreme learning machine (ELM). ELM utilizes a single-layer network with randomly initialized hidden nodes and analytically computed output weights obtained via convex optimization, enabling rapid training and inference. Both supervised and un…

Signatures of the Fermi surface reconstruction of a doped Mott insulator in a slab geometry
Gregorio Staffieri, Michele Fabrizio
https://arxiv.org/abs/2506.04155

Signatures of the Fermi surface reconstruction of a doped Mott insulator in a slab geometry
We investigate a hole-doped Mott insulator in a slab geometry using the dynamical cluster approximation. We show that the enhancement of the correlation strength at the surface results in the remarkable evolution of the layer-projected Fermi surface, which exhibits hole-like pockets in the superficial layers, but gradually evolves into a single electron-like surface in the innermost layers. We further analyze the behavior of the Friedel oscillations induced by the surface and identify distinct …

Direct determination of layer anomalous Hall conductivity using uniaxial Wannier functions
Yume Morishima, Fumiyuki Ishii, Naoya Yamaguchi
https://arxiv.org/abs/2506.01160

Direct determination of layer anomalous Hall conductivity using uniaxial Wannier functions
We propose a method for computing layer anomalous Hall conductivity (LAHC) in real space by integrating the Fukui-Hatsugai-Suzuki method with hybrid Wannier functions localized along a single axis. To validate the method, we calculated the LAHC of axion-insulating MnBi$_2$Te$_4$ and confirmed the agreement between the sum of LAHC on the surface and the surface AHC previously reported. We further applied the method to antiferromagnetic Mn$_2$Bi$_2$Te$_5$ and examined the dependence on the magnet…

This https://arxiv.org/abs/2502.08425 has been replaced.
initial toot: https://mastoxiv.page/@a…

Interlayer interactions in $\text{La}_3\text{Ni}_2\text{O}_7$ under pressure: from $s^{\pm}$ to $d_{xy}$-wave superconductivity
We investigate the role of \emph{interlayer} interaction terms in the competition between different superconducting gap symmetries in the bilayer nickelate $\text{La}_3\text{Ni}_2\text{O}_7$ under high pressure. We study a two-layer, two-orbital electron model that encompasses both intra- and interlayer Coulomb interaction terms within the matrix random-phase approximation. We find that interlayer interactions favor a $d_{xy}$-wave superconducting pairing symmetry over the $s^{\pm}$-wave symmet…

This https://arxiv.org/abs/2502.02244 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Measured gain suppression in FBK LGADs with different active thicknesses
In recent years, the gain suppression mechanism has been studied for large localized charge deposits in Low-Gain Avalanche Detectors (LGADs). LGADs are a thin silicon detector with a highly doped gain layer that provides moderate internal signal amplification. Using the CENPA Tandem accelerator at the University of Washington, the response of LGADs with different thicknesses to MeV-range energy deposits from a proton beam were studied. Three LGAD prototypes of 50~$μ$m, 100~$μ$m, 150~$μ$m wer…

Study of the Turbulent/Non-turbulent Interface of Zero-Pressure-Gradient Turbulent Boundary Layer Using the Uniform Momentum Zone Concept
Bihai Sun, Callum Atkinson, Julio Soria
https://arxiv.org/abs/2505.23589

Study of the Turbulent/Non-turbulent Interface of Zero-Pressure-Gradient Turbulent Boundary Layer Using the Uniform Momentum Zone Concept
This paper investigates the turbulent--non-turbulent interface (TNTI) in a zero-pressure-gradient turbulent boundary layer (ZPG-TBL) using a novel, threshold-free method based on the uniform momentum zone (UMZ) concept. Requiring only planar streamwise velocity data, the method is directly applicable to experimental PIV and ensures consistent TNTI detection across simulations and experiments. Its performance is demonstrated using DNS data at $Re_τ= 1,000 - 2,000$. The TNTI height scales with t…

This https://arxiv.org/abs/2505.20358 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Is GGAG:Ce@SiO$_2$-RB composite a prospective material for X-ray induced photodynamic therapy?
Nanocomposite material ($\mathrm{GGAG:Ce^{3+}@SiO_2-RB}$) for potential use in X-ray induced photodynamic therapy (X-PDT) was developed, thoroughly characterized, and evaluated. It consists of a scintillating $\mathrm{Gd_3(Ga_{1-x}Al_x)_5O_{12}:Ce^{3+}}$ core encapsulated in silica layer and functionalized with the photosensitizer Rose Bengal (RB). Radioluminescence measurements confirmed the energy transfer from the scintillating core to Rose Bengal. Dark toxicity and radiosensitisation effect…

Weak localization as probe of spin-orbit-induced spin-split bands in bilayer graphene proximity coupled to WSe$_2$
E. Icking, F. W\"ortche, A. W. Cummings, A. W\"ortche, K. Watanabe, T. Taniguchi, C. Volk, B. Beschoten, C. Stampfer
https://arxiv.org/abs/2505.24632

Weak localization as probe of spin-orbit-induced spin-split bands in bilayer graphene proximity coupled to WSe$_2$
Proximity coupling of bilayer graphene (BLG) to transition metal dichalcogenides (TMDs) offers a promising route to engineer gate-tunable spin-orbit coupling (SOC) while preserving BLG's exceptional electronic properties. This tunability arises from the layer-asymmetric electronic structure of gapped BLG, where SOC acts predominantly on the layer in contact with the TMD. Here, we present high-quality BLG/WSe$_2$ devices with a proximity-induced SOC gap and excellent electrostatic control. Opera…

Energy-Embedded Neural Solvers for One-Dimensional Quantum Systems
Yi-Qiang Wu, Xuan Liu, Hanlin Li, Fuqiang Wang
https://arxiv.org/abs/2505.24194 https://…

Energy-Embedded Neural Solvers for One-Dimensional Quantum Systems
Physics-informed neural networks (PINN) have been widely used in computational physics to solve partial differential equations (PDEs). In this study, we propose an energy-embedding-based physics-informed neural network method for solving the one-dimensional time-independent Schrödinger equation to obtain ground- and excited-state wave functions, as well as energy eigenvalues by incorporating an embedding layer to generate process-driven data. The method demonstrates high accuracy for several w…

This https://arxiv.org/abs/2412.17457 has been replaced.
initial toot: https://mastoxiv.page/@a…

Optical Properties and Spin States of Inter-layer Carbon Defect Pairs in Hexagonal Boron Nitride: A First-Principles Study
Substitutional carbon defects in hexagonal boron nitride (hBN) are prominent single photon emitters (SPEs), and their potential for spin activity ($S\geq1$) is particularly intriguing. While studies have largely focused on intra-layer defects, we employ density functional theory (DFT) to investigate inter-layer dimers of identical carbon species (C$_X$C$_X$). We demonstrate that these C$_X$C$_X$ pairs can exhibit a stable triplet spin state at room temperature when closely spaced (e.g., within …

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features
Qianchao Wang, Leena Heistrene, Yoash Levron, Yuxuan Ding, Yaping Du
https://arxiv.org/abs/2505.23097

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features
In practical resource-constrained environments, efficiently extracting the potential high-frequency fault-critical information is an inherent problem. To overcome this problem, this work suggests leveraging a bi-residual neural network named Bi-ResNet to extract the inner spatial-temporal high-frequency features using embedded spatial-temporal convolution blocks and intra-link layers. It can be considered as embedding a high-frequency extractor into networks without adding any parameters, helpi…

Sliding Ferroelectrics Induced Hybrid-Order Topological Phase Transitions
Ning-Jing Yang, Jian-Min Zhang, Xiao-Ping Li, Zeying Zhang, Zhi-Ming Yu, Zhigao Huang, Yugui Yao
https://arxiv.org/abs/2506.01402

Sliding Ferroelectrics Induced Hybrid-Order Topological Phase Transitions
We propose ferroelectric layer sliding as a new approach to realize and manipulate topological quantum states in two-dimensional (2D) bilayer magnetic van der Waals materials. We show that stacking monolayer ferromagnetic topological states into layer-spin-locked bilayer antiferromagnetic structures, and introducing sliding ferroelectricity leads to asynchronous topological evolution of different layers (spins) owing to existence of polarization potentials, thereby giving rise to rich layer-res…

This https://arxiv.org/abs/2505.08944 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony
Mixture-of-Experts (MoE) architectures offer the promise of larger model capacity without the prohibitive costs of fully dense designs. However, in real-world inference serving, load skew across experts often leads to suboptimal device utilization and excessive synchronization overheads. This paper introduces Asynchronous Expert Parallelism (AEP), a new paradigm that decouples layer execution from barrier-style synchronization. By dynamically queuing tokens at each layer (referred to as $μ$-qu…

Gefitinib-Induced Interface Engineering Enhances the Defect Formation Energy for Highly Efficient and Stable Perovskite Solar Cells
Xianhu Wu, Guanglei Cui, Jieyu Bi, Gaojie Xia, Zewen Zuo, Min Gu
https://arxiv.org/abs/2506.03611

Gefitinib-Induced Interface Engineering Enhances the Defect Formation Energy for Highly Efficient and Stable Perovskite Solar Cells
Poly(3,4-ethylenedioxythiophene):polystyrenesulfonate (PEDOT:PSS) has been widely used as a hole transport layer in perovskite solar cells (PSCs). However, the high interface defect density and energy level mismatch between PEDOT:PSS and perovskite can lead to significant open-circuit voltage loss. Additionally, the free PSS chains on the surface of PEDOT:PSS can absorb water molecules, promoting the degradation of perovskite at the PEDOT:PSS/perovskite interface. Here, gefitinib is used to mod…

This https://arxiv.org/abs/2504.08241 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Onset of thermo-convective instabilities in two-layer binary fluid systems
The current work analyses the onset characteristics of buoyancy and thermocapillary-driven instabilities in two-layer binary fluid systems near their upper critical solution temperature (UCST). The dynamics of the binary fluids are modelled here via a diffuse interface approach (phase-field method) involving a modified free energy formulation to capture the temperature-dependent solubility and interfacial width. Using spectral collocation-based discretization and a suitable grid mapping strateg…

Graphene Electro-Absorption Modulators for Energy-Efficient and High-Speed Optical Transceivers
M. Tiberi, A. Montanaro, C. Wen, J. Zhang, O. Balci, S. M. Shinde, S. Sharma, A. Meersha, H. Shekhar, J. E. Muench, B. R. Conran, K. B. K. Teo, M. Ebert, X. Yan, Y. Tran, M. Banakar, C. Littlejohns, G. T. Reed, M. Romagnoli, A. Ruocco, V. Sorianello, A. C. Ferrari

Graphene Electro-Absorption Modulators for Energy-Efficient and High-Speed Optical Transceivers
The increasing demand for energy-efficient hardware for artificial intelligence (AI) and data centres requires integrated photonic solutions delivering optical transceivers with Tbit/s data rates and energy consumption$<$1pJ/bit. Here, we report double single-layer graphene electro-absorption modulators on Si optimized for energy-efficient and ultra-fast operation, demonstrating 67GHz bandwidth and 80Gbit/s data rate, in both O and C bands, using a fabrication tailored for wafer-scale integrati…

Electron and positron channeling and photon emission processes in boron doped periodically bent diamond
Andrei V. Korol, Andrey V. Solov'yov
https://arxiv.org/abs/2505.20037

Electron and positron channeling and photon emission processes in boron doped periodically bent diamond
In this paper, theoretical and numerical analyses are conducted of the profiles of the planar (-110) crystallographic direction in the diamond layer doped with boron atoms. The planar profiles for periodic doping following several ideal dependencies of the boron concentration on the distance in the crystalline medium. Numerical simulations of the channeling and photon emission processes have been carried out for 855 MeV electron and 530 MeV positron beams incident on boron-doped diamond with a …

This https://arxiv.org/abs/2406.12877 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Design of a SiPM-on-Tile ZDC for the future EIC and its Performance with Graph Neural Networks
We present a design for a high-granularity zero-degree calorimeter (ZDC) for the upcoming Electron-Ion Collider (EIC). The design uses SiPM-on-tile technology and features a novel staggered-layer arrangement that improves spatial resolution. To fully leverage the design's high granularity and non-trivial geometry, we employ graph neural networks (GNNs) for energy and angle regression as well as signal classification. The GNN-boosted performance metrics meet, and in some cases, significantly sur…

The 'Brazil-nut effect' in bidisperse particle laden flow on an incline
Jack Luong, Sarah Cassie Burnett, Andrea L. Bertozzi
https://arxiv.org/abs/2505.24114

The 'Brazil-nut effect' in bidisperse particle laden flow on an incline
We study bidisperse suspensions -- suspensions where there are two particle species of the same density but different sizes -- of a viscous fluid on an incline. We use a lubrication theory/thin film model to form a hyperbolic system of three conservation laws for the height and particle volume fractions. The model predicts, over a range of parameters, that the larger particles rise to the top of the layer, consistent with the well-known `Brazil-nut effect' for granular media. The model predicts…

This https://arxiv.org/abs/2505.05852 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Attention-Enhanced Reservoir Computing as a Multiple Dynamical System Approximator
Reservoir computing has proven effective for tasks such as time-series prediction, particularly in the context of chaotic systems. However, conventional reservoir computing frameworks often face challenges in achieving high prediction accuracy and adapting to diverse dynamical problems due to their reliance on fixed weight structures. A concept of an attention-enhanced reservoir computer has been proposed, which integrates an attention mechanism into the output layer of the reservoir computing …

This https://arxiv.org/abs/2412.12485 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Rydberg Atomic Receiver: Next Frontier of Wireless Communications
Rydberg Atomic REceiver (RARE) is driving a paradigm shift in electromagnetic (EM) wave measurement by harnessing the electron transition phenomenon of Rydberg atoms. Operating at the quantum scale, such receivers have the potential to breakthrough the performance limit of classic receivers, sparking a revolution in physical-layer wireless communications. The objective of this paper is to offer insights into RARE-empowered communications. We first provide a comprehensive introduction to the fun…

This https://arxiv.org/abs/2501.17432 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Diagonal superexchange in a simple square CuO$_2$ lattice
Many microscopic models with the interaction between the next-nearest neighbours as a key parameter for cuprate physics have inspired us to study the diagonal superexchange interaction in a CuO$_2$ layer. Our investigation shows that models with extended hopping provide a correct representation of magnetic interactions only in a hypothetical square CuO$_2$ layer, where the diagonal superexchange interaction with the next-nearest neighbors always has the AFM nature. The conclusions are based on …

Is GGAG:Ce@SiO$_2$-RB composite a prospective material for X-ray induced photodynamic therapy?
Iveta Terezie Ho\v{s}nov\'a, Krist\'yna Havlinov\'a, Jan B\'arta, Karol\'ina Mocov\'a, Xenie Lytvynenko, Lenka Prouzov\'a Proch\'azkov\'a, Vojt\v{e}ch Kazda, Franti\v{s}ek H\'ajek, Viliam M\'u\v{c}ka, V\'aclav \v{C}uba

Is GGAG:Ce@SiO$_2$-RB composite a prospective material for X-ray induced photodynamic therapy?
Nanocomposite material ($\mathrm{GGAG:Ce^{3+}@SiO_2-RB}$) for potential use in X-ray induced photodynamic therapy (X-PDT) was developed, thoroughly characterized, and evaluated. It consists of a scintillating $\mathrm{Gd_3(Ga_{1-x}Al_x)_5O_{12}:Ce^{3+}}$ core encapsulated in silica layer and functionalized with the photosensitizer Rose Bengal (RB). Radioluminescence measurements confirmed the energy transfer from the scintillating core to Rose Bengal. Dark toxicity and radiosensitisation effect…

Nonlinear Stability and Dynamics of Supersonic Compressible Flows
Symphony Chakraborty (Institute of Astronomy,Astrophysics, Academia Sinica), Hsien Shang (Institute of Astronomy,Astrophysics, Academia Sinica)
https://arxiv.org/abs/2505.21650

Nonlinear Stability and Dynamics of Supersonic Compressible Flows
The study of shear layer instability in compressible flows is key to understanding phenomena from aerodynamics to astrophysical jets. Blumen's seminal paper [``Shear layer instability of an inviscid compressible fluid," J. Fluid Mech. {\bf 40}, 769--781 (1970)] established a linear stability framework for inviscid compressible shear flows, emphasizing velocity gradients and compressibility effects. However, the nonlinear regime remains insufficiently explored. This research extends Blumen's fra…

Selenization of V2O5/WO3 Bilayers for Tuned Optoelectronic Response of WSe2 Films
Abhishek Bajgain, Santu Prasad Jana, Alexander Samokhvalov, Thomas Parker, John Derek Demaree, Ramesh C. Budhani
https://arxiv.org/abs/2505.22800

Selenization of V2O5/WO3 Bilayers for Tuned Optoelectronic Response of WSe2 Films
Scalable and controlled doping of two-dimensional transition metal dichalcogenides is essential for tuning their electronic and optoelectronic properties. In this work, we demonstrate a robust approach for substitution of vanadium in tungsten diselenide (WSe$_2$) via the selenization of pre-deposited V$_2$O$_5$/WO$_3$ thin films. By adjusting the thickness of the vanadium oxide layer, the V concentration in W$_{1-x}$V$_x$Se$_2$ is systematically varied. Electrical measurements on field-effect t…

Superstrate structured Sb$_2$S$_3$ thin-film solar cells by magnetron sputtering of Sb and post-sulfurization
Evgeniia Gilshtein, Harshvardhan Maheshkant Gupta, Andrea Maria Pierri Enevoldsen, Cristina Besleaga, Aurelian Catalin Galca, Stela Canulescu
https://arxiv.org/abs/2506.01170

Superstrate structured Sb$_2$S$_3$ thin-film solar cells by magnetron sputtering of Sb and post-sulfurization
We report on the fabrication and optimization of semi-transparent antimony sulfide (Sb$_2$S$_3$) thin-film solar cells in a superstrate configuration, using RF magnetron sputtering of metallic antimony followed by post-deposition sulfurization. The influence of absorber and buffer layer thicknesses on device performance was systematically studied in FTO/CdS/Sb$_2$S$_3$/Spiro-OMeTAD/Au architectures. Optimizing the Sb$_2$S$_3$ absorber thickness to 100 nm yielded a champion device with a power c…

Adsorbate phase transitions on nanoclusters from nested sampling
Thanawitch Chatbipho, Ray Yang, Robert B. Wexler, Livia B. P\'artay
https://arxiv.org/abs/2506.01295

Adsorbate phase transitions on nanoclusters from nested sampling
Nested sampling was employed to investigate adsorption equilibria on the truncated-octahedral Lennard-Jones nanocluster LJ$_{38}$ while systematically varying adsorbate-surface well depth and Lennard-Jones size parameters. Evaluation of the canonical partition function over a wide temperature range identifies two successive phase transitions: (i) condensation of the gas phase onto the cluster surface at higher temperatures, and (ii) lateral rearrangement of the adsorbed layer at lower temperatu…

Theory and simulation of elastoinertial rectification of oscillatory flows in two-dimensional deformable rectangular channels
Uday M. Rade, Shrihari D. Pande, Ivan C. Christov
https://arxiv.org/abs/2505.22799

Theory and simulation of elastoinertial rectification of oscillatory flows in two-dimensional deformable rectangular channels
A slender two-dimensional (2D) channel bounded by a rigid bottom surface and a slender elastic layer above deforms when a fluid flows through it. Hydrodynamic forces cause deformation at the fluid-solid interface, which in turn changes the cross-sectional area of the fluidic channel. The nonlinear coupling between flow and deformation, along with the attendant asymmetry in geometry caused by flow-induced deformation, produces a streaming effect (a non-zero cycle-average despite time-periodic fo…

Magnetoimpedance properties of CoNbZr, multilayer CoNbZr/Au and multilayer NiFe/Au thin films
Indujan Sivanesarajah, Leon Abelmann, Uwe Hartmann
https://arxiv.org/abs/2505.24659

Magnetoimpedance properties of CoNbZr, multilayer CoNbZr/Au and multilayer NiFe/Au thin films
Thin-film magnetic sensors using the giant magnetoimpedance (GMI) effect show great promise for sensitive low-field magnetic measurements. Optimising sensor performance requires a thorough understanding of the properties of various soft magnetic materials. This study examines the electric, magnetic, and GMI properties of sputtered single-layer amorphous CoNbZr, multilayer amorphous CoNbZr/Au, and crystalline NiFe/Au thin films. GMI measurements reveal distinct ferromagnetic resonance (FMR) freq…

This https://arxiv.org/abs/2411.15168 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Benjamin-Feir instability of wave packets at interface of liquid half-space and layer
The propagation of internal waves in a hydrodynamic system comprising a solid bottom and an upper half-space is investigated. The study is conducted within the framework of a nonlinear low-dimensional model incorporating surface tension on an interface using the method of multi-scale expansions. The evolution equation of the envelope of the wave packet takes the form of the Schrodinger equation. Conditions for the Benjamin-Feir stability of the solution of the evolution equation are identified …

On the intracyclic instability in Stokes layers
Mengqi Zhang
https://arxiv.org/abs/2505.21913 https://arxiv.org/pdf/2505.21913…

On the intracyclic instability in Stokes layers
Time-dependent fluid dynamics plays a crucial role in both natural phenomena and industrial applications. Understanding the flow instabilities and transitions within these dynamical systems is essential for predicting and controlling their unsteady behaviour. A classic example of time-dependent flow is the Stokes layer. To study the transition mechanism in this flow, we employ the Finite-Time Lyapunov Exponent (FTLE) to demonstrate that a linear energy amplification mechanism may explain the in…