Tootfinder

Sources: WBD initiates a round of layoffs in its cable TV divisions, affecting well under 100 employees and largely impacting the Discovery side of the company (Peter White/Deadline)
https://deadline.com/2025/06/warner-bros-discovery-layoffs-tv-d…

Warner Bros. Discovery Initiates More Layoffs In Cable TV Divisions
Deadline understands that the company is set to layoff a number of people, particularly on the cable television side of its business.

A transiting giant planet in orbit around a 0.2-solar-mass host star: #planet orbiting tiny star challenges theories on planet formation: https://warwick.ac.uk/news/pressreleases/discovery_of_giant_planet_orbiting_tiny_star_challenges_theories_on_planet_formation and https://www.news.uliege.be/cms/c_20434166/en/a-giant-planet-around-a-tiny-star-a-discovery-that-challenges-planet-formation-theories

Nonlinear Causal Discovery for Grouped Data
Konstantin G\"obler, Tobias Windisch, Mathias Drton
https://arxiv.org/abs/2506.05120 https://

Nonlinear Causal Discovery for Grouped Data
Inferring cause-effect relationships from observational data has gained significant attention in recent years, but most methods are limited to scalar random variables. In many important domains, including neuroscience, psychology, social science, and industrial manufacturing, the causal units of interest are groups of variables rather than individual scalar measurements. Motivated by these applications, we extend nonlinear additive noise models to handle random vectors, establishing a two-step …

Jira frustration of the day: their product catalog is a mess
Jira, Jira Cloud, Jira Core, Jira Software, Jira Serer, Jira Service Desk, Jira Service Management, Jira Align, Jira Product Discovery, Portfolio for Jira, Product Roadmaps for Jira, Jira Advanced Roadmaps, Jira Plans, Jira Premium, Jira…

This https://arxiv.org/abs/2506.02779 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will start by the end of 2025 and operate for ten years, offering billions of observations of the southern night sky. One of its main science goals is to create an inventory of the Solar System, allowing for a more detailed understanding of small body populations including the Centaurs, which will benefit from the survey's high cadence and depth. In this paper, we establish the first discovery limits for Centaurs throughout th…

polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design
Anagha Savit, Harikrishna Sahu, Shivank Shukla, Wei Xiong, Rampi Ramprasad
https://arxiv.org/abs/2506.04233

polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design
Designing polymers for targeted applications and accurately predicting their properties is a key challenge in materials science owing to the vast and complex polymer chemical space. While molecular language models have proven effective in solving analogous problems for molecular discovery, similar advancements for polymers are limited. To address this gap, we propose polyBART, a language model-driven polymer discovery capability that enables rapid and accurate exploration of the polymer design …

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 304691 nodes and 563069 edges.
Tags: Social, Online, Weighted, Multilayer

Beyond Diamond: Interpretable Machine Learning Discovery of Coherent Quantum Defect Hosts in Semiconductors
Mohammed Mahshook, Rudra Banerjee
https://arxiv.org/abs/2506.03844

Beyond Diamond: Interpretable Machine Learning Discovery of Coherent Quantum Defect Hosts in Semiconductors
Quantum point defects in wide bandgap semiconductors-such as the nitrogen-vacancy (NV) center in diamond are leading candidates for solid-state spin qubits due to their long coherence times and optically addressable spin states. Yet, identifying host materials capable of supporting such deep-level defects remains a significant challenge, owing to the complex interplay between chemical composition, crystal structure, and electronic environment. Here, we present a scalable, interpretable machine …

This https://arxiv.org/abs/2501.17753 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Feasibility study of true muonium observation with the existing Belle-II dataset
True muonium ($μ^+μ^-$) is one of the cleanest bound states, being composed only of leptons, along with true tauonium and positronium. Unlike the latter, true muonium and true tauonium have not been observed so far. This article shows that the spin-0 state of true muonium (para-TM), decaying into two photons, can be observed at a discovery level of significance in the dataset already collected by the Belle-II experiment at the $Υ(4S)$ peak, with certain assumptions on systematic uncertaintie…

Qualcomm releases patches to fix a series of vulnerabilities in dozens of chips, including three zero-days that "may be under limited, targeted exploitation" (Lorenzo Franceschi-Bicchierai/TechCrunch)
https://techcrunch.com/2025/06/03/phon

Phone chipmaker Qualcomm fixes three zero-days exploited by hackers | TechCrunch
Google's Threat Analysis Group, which investigates government-backed hacks, was credited with the discovery of the zero-days.

This https://arxiv.org/abs/2411.09740 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Type Ia supernovae
Type Ia supernovae (SNe Ia) correspond to the thermonuclear explosion of a carbon-oxygen white dwarf (C-O WD) star in a binary system, triggered by the accretion of material from another star, or the merger/collision with a secondary WD. Their phenomenal luminosity -- several billion times that of the sun -- has motivated their use as cosmological distance indicators and led to the discovery of the accelerated expansion of the universe. SNe Ia are also the main producers of iron and hence play …

The Centre of Attention: a Powerful Radio Galaxy Pinpoints a NIR-Dark Protocluster at z~3.9
A. J. Hedge, N. Seymour, J. W. Broderick, A. Gupta, J. Afonso, L. Ighina, M. Lehnert, G. Noirot, S. Shabala, D. Stern, R. J. Turner
https://arxiv.org/abs/2506.04747

The Centre of Attention: a Powerful Radio Galaxy Pinpoints a NIR-Dark Protocluster at z~3.9
We report the discovery of a $z\sim3.9$ protocluster identified from Atacama Large Millimetre/sub-millimetre Array Band 3 spectral scans of a bright radio source selected from the GaLactic and Extra-galactic All-sky Murchison Widefield Array (GLEAM) survey. Extended CO(4-3) and [CI](1-0) line emission was detected in GLEAM J005332$-$325630 confirming it to be a $z=3.879$ powerful radio galaxy with luminosity, $L_{500 MHz}=1.3\times10^{28}$ ${W Hz}^{-1}$. This source is part of a sample of candi…

This https://arxiv.org/abs/2505.14613 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Virtual Cells: Predict, Explain, Discover
Drug discovery is fundamentally a process of inferring the effects of treatments on patients, and would therefore benefit immensely from computational models that can reliably simulate patient responses, enabling researchers to generate and test large numbers of therapeutic hypotheses safely and economically before initiating costly clinical trials. Even a more specific model that predicts the functional response of cells to a wide range of perturbations would be tremendously valuable for disco…

Discovery of the Type-II Superconductor Ta$_4$Rh$_2$C$_{1-\delta}$ with a High Upper Critical Field
KeYuan Ma, Sara L\'opez-Paz, Karolina Gornicka, Harald O. Jeschke, Tomasz Klimczuk, Fabian O. von Rohr
https://arxiv.org/abs/2506.02209

Discovery of the Type-II Superconductor Ta$_4$Rh$_2$C$_{1-δ}$ with a High Upper Critical Field
We report on the discovery of superconductivity in the previously unknown compound Ta$_4$Rh$_2$C$_{1-δ}$. Ta$_4$Rh$_2$C$_{1-δ}$ crystallizes in the $η$-carbide structure type, in the cubic space group $Fd\bar{3}m$ (No.227) with a unit cell parameter of $a = $ 11.7947 Å. Temperature-dependent magnetic susceptibility, resistivity, and specific heat capacity measurements reveal that Ta$_4$Rh$_2$C$_{1-δ}$ is a type-II bulk superconductor with a critical temperature of $T_{\rm c}$ = 6.4 K, and …

e-GAI: e-value-based Generalized $\alpha$-Investing for Online False Discovery Rate Control
Yifan Zhang, Zijian Wei, Haojie Ren, Changliang Zou
https://arxiv.org/abs/2506.01452

e-GAI: e-value-based Generalized $α$-Investing for Online False Discovery Rate Control
Online multiple hypothesis testing has attracted a lot of attention in many applications, e.g., anomaly status detection and stock market price monitoring. The state-of-the-art generalized $α$-investing (GAI) algorithms can control online false discovery rate (FDR) on p-values only under specific dependence structures, a situation that rarely occurs in practice. The e-LOND algorithm (Xu & Ramdas, 2024) utilizes e-values to achieve online FDR control under arbitrary dependence but suffers from …

Enhancing Drug Discovery: Autoencoder-Based Latent Space Augmentation for Improved Molecular Solubility Prediction using LatMixSol
Mohammad Saleh Hasankhani
https://arxiv.org/abs/2506.00223

Enhancing Drug Discovery: Autoencoder-Based Latent Space Augmentation for Improved Molecular Solubility Prediction using LatMixSol
Accurate prediction of molecular solubility is a cornerstone of early-stage drug discovery, yet conventional machine learning models face significant challenges due to limited labeled data and the high-dimensional nature of molecular descriptors. To address these issues, we propose LatMixSol, a novel latent space augmentation framework that combines autoencoder-based feature compression with guided interpolation to enrich training data. Our approach first encodes molecular descriptors into a lo…

MIR: Methodology Inspiration Retrieval for Scientific Research Problems
Aniketh Garikaparthi, Manasi Patwardhan, Aditya Sanjiv Kanade, Aman Hassan, Lovekesh Vig, Arman Cohan
https://arxiv.org/abs/2506.00249

MIR: Methodology Inspiration Retrieval for Scientific Research Problems
There has been a surge of interest in harnessing the reasoning capabilities of Large Language Models (LLMs) to accelerate scientific discovery. While existing approaches rely on grounding the discovery process within the relevant literature, effectiveness varies significantly with the quality and nature of the retrieved literature. We address the challenge of retrieving prior work whose concepts can inspire solutions for a given research problem, a task we define as Methodology Inspiration Retr…

This https://arxiv.org/abs/2411.16666 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors
We introduce CatNet, an algorithm that effectively controls False Discovery Rate (FDR) and selects significant features in LSTM. CatNet employs the derivative of SHAP values to quantify the feature importance, and constructs a vector-formed mirror statistic for FDR control with the Gaussian Mirror algorithm. To avoid instability due to nonlinear or temporal correlations among features, we also propose a new kernel-based independence measure. CatNet performs robustly on different model settings …

Patterns Within the Markov Tree
Robert A. Gore
https://arxiv.org/abs/2506.04299 https://arxiv.org/pdf/2506.04299

Patterns Within the Markov Tree
An analysis of the Markov tree is presented. Markov triplets, {x,R,z}, are the positive integer solutions to the Diophantine equation x2 + R2 + z2 = 3xRz. Inspired by patterns of the Fibonacci and Pell triplets in Region 1 and Region 2 of the tree, an investigation of interior regions of the Markov tree finds generating functions and sequence functions for all triplets of all regions. These sequence functions lead to the discovery of a Pell equation for the Markov region numbers along the edges…

📝 #NoKings Event in Syracuse
https://indigenousvalues.org/event-the-doctrine-of-christian-discovery-the-jesuits-and-laudato-si-defending-mother-earth/
!Event Flyer (https://cdn.some.pics/adjb/68422c8071720.png)

This https://arxiv.org/abs/2505.05227 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Something about the Mechanism of Induction Phenomena: The forgotten work of Berta de Haas-Lorentz on diamagnetism in superconductors
In 1925, Dr. Geertruida Luberta "Berta" de Haas-Lorentz published the paper "Iets over het mechanisme van inductieverschijnselen" in the journal Physica. Her paper was the first to discuss perfect diamagnetism of superconductors, eight years before the discovery of the Meissner effect, when the essential difference between the two phenomena was not understood. Unfortunately, her work was almost forgotten by the scientific community. To counter this, we translate her seminal 1925 paper from Dutc…

Memo: David Leavy, who became CNN's COO in 2023, is leaving; sources say the longtime key lieutenant of David Zaslav is returning to Warner Bros. Discovery (Brian Steinberg/Variety)
https://variety.com/2025/tv/news/david-leavy-cnn…

David Leavy, CNN's COO, Will Return to Warner Bros. Discovery
David Leavy will leave CNN and return to duties at corporate parent Warner Bros. Discovery, where he has long been a key aide to CEO David Zaslav

Integrating computational detection and experimental validation for rapid GFRAL-specific antibody discovery
Maria Francesca Abbate, Pierre Toxe, Nicolas Maestrali, Marie Gagnaire, Emmanuelle Vigne, Melody A. Shahsavarian, Thierry Mora, Aleksandra M. Walczak
https://arxiv.org/abs/2506.01995…

Integrating computational detection and experimental validation for rapid GFRAL-specific antibody discovery
The identification and validation of therapeutic antibodies is critical for developing effective treatments for many diseases. We present a computational approach for identifying antibodies targeting GFRAL-specific receptors, receptors implicated in appetite regulation. Using humanized Trianni mice, we conducted a longitudinal study with repeated blood sampling and splenic analysis. We applied the STAR computational method for antibody discovery on bulk antibody repertoire data sampled at key t…

Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs
Joseph Murtagh, Megan E. Schwamb, Stephanie R. Merritt, Pedro H. Bernardinelli, Jacob A. Kurlander, Samuel Cornwall, Mario Juri\'c, Grigori Fedorets, Matthew J. Holman, Siegfried Eggl, David Nesvorn\'y, Kathryn Volk, R. Lynne Jones, Peter Yoachim, Joachim Moeyens, Jeremy Kubica, Drew Oldag, Maxine West, Colin Orion Chandler

Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will start by the end of 2025 and operate for ten years, offering billions of observations of the southern night sky. One of its main science goals is to create an inventory of the Solar System, allowing for a more detailed understanding of small body populations including the Centaurs, which will benefit from the survey's high cadence and depth. In this paper, we establish the first discovery limits for Centaurs throughout th…

"Comparative review on Primo Research Assistant, Scopus AI, Web of Science Research Assistant and a explainer for AI search for librarians" by Aaron Tay: https://musingsaboutlibrarianship.blogspot.com/2025/05/comparative-review-…

Fast Luminous Extragalactic Transients in the VLA Sky Survey: Implications for the rates of Accretion-Induced Collapse Events, Fast Blue Optical Transients and Gamma Ray Burst Afterglows
Kritti Sharma, Vikram Ravi, Dillon Z. Dong, Gregg Hallinan, Casey Law, Delina Levine, Jean J. Somalwar, Jessie Miller, Nikita Kosogorov, Steven T. Myers
https://

Fast Luminous Extragalactic Transients in the VLA Sky Survey: Implications for the rates of Accretion-Induced Collapse Events, Fast Blue Optical Transients and Gamma Ray Burst Afterglows
Radio wavelengths offer a unique window into high-energy astrophysical phenomena that may be obscured or too rapidly evolving to be captured at other wavelengths. Leveraging data from the Very Large Array Sky Survey, we perform a systematic search for fast, luminous transients with characteristic timescales $\lesssim 3$ years in the nearby universe ($z \leq 0.3$). We report the discovery of five such transients, and classify them based on their synchrotron emission energetics and host galaxy pr…

STELLA: Towards Protein Function Prediction with Multimodal LLMs Integrating Sequence-Structure Representations
Hongwang Xiao, Wenjun Lin, Xi Chen, Hui Wang, Kai Chen, Jiashan Li, Yuancheng Sun, Sicheng Dai, Boya Wu, Qiwei Ye
https://arxiv.org/abs/2506.03800

STELLA: Towards Protein Function Prediction with Multimodal LLMs Integrating Sequence-Structure Representations
Protein biology focuses on the intricate relationships among sequences, structures, and functions. Deciphering protein functions is crucial for understanding biological processes, advancing drug discovery, and enabling synthetic biology applications. Since protein sequences determine tertiary structures, which in turn govern functions, integrating sequence and structure information is essential for accurate prediction of protein functions. Traditional protein language models (pLMs) have advance…

DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
Kevin Han, Bowen Deng, Amir Barati Farimani, Gerbrand Ceder
https://arxiv.org/abs/2506.02023

DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
Large-scale atomistic simulations are essential to bridge computational materials and chemistry to realistic materials and drug discovery applications. In the past few years, rapid developments of machine learning interatomic potentials (MLIPs) have offered a solution to scale up quantum mechanical calculations. Parallelizing these interatomic potentials across multiple devices poses a challenging, but promising approach to further extending simulation scales to real-world applications. In this…

This https://arxiv.org/abs/1402.6774 has been replaced.
link: https://scholar.google.com/scholar?q=a

Local Electronic Structure around a Single Impurity in an Anderson Lattice Model for Topological Kondo Insulators
Shortly after the discovery of topological band insulators, the topological Kondo insulators (TKIs) have also been theoretically predicted. The latter has ignited revival interest in the properties of Kondo insulators. Currently, the feasibility of topological nature in SmB$_6$ has been intensively analyzed by several complementary probes. Here by starting with a minimal-orbital Anderson lattice model, we explore the local electronic structure in a Kondo insulator. We show that the two strong t…

Image-based physical characterization of magnetotactic bacteria from an environmental sample
Mara Smite, Mihails Birjukovs, Mila Sirinelli-Kojadinovic, Sandrine Grosse, Agnese Kokina, Janis Liepins, Dita Gudra, Megija Lunge, Davids Fridmanis, Mihaly Posfai, Andrejs Cebers, Damien Faivre, Guntars Kitenbergs
https://arxiv.org/abs/…

Image-based physical characterization of magnetotactic bacteria from an environmental sample
Magnetotactic bacteria (MTB) are a diverse group of microorganisms that are able to biomineralize magnetic nanoparticles. Most MTB remain uncultured, making population-level characterization from natural environments difficult. We report the discovery of a new and diverse MTB-rich site in the Ogre River, Latvia, and present an integrated approach combining 16S rRNA sequencing, transmission electron microscopy, and novel open-source, automated image-based physical methods to characterize bacteri…

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 116408 nodes and 150818 edges.
Tags: Social, Online, Weighted, Multilayer

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning
Harsh Goel, Mohammad Omama, Behdad Chalaki, Vaishnav Tadiparthi, Ehsan Moradi Pari, Sandeep Chinchali
https://arxiv.org/abs/2505.24265

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) has achieved significant progress in large-scale traffic control, autonomous vehicles, and robotics. Drawing inspiration from biological systems where roles naturally emerge to enable coordination, role-based MARL methods have been proposed to enhance cooperation learning for complex tasks. However, existing methods exclusively derive roles from an agent's past experience during training, neglecting their influence on its future trajectories. This paper…

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
Madan Krishnamurthy, Daniel Korn, Melissa A Haendel, Christopher J Mungall, Anne E Thessen
https://arxiv.org/abs/2506.02160

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
This research aims to develop a dynamic and scalable framework to facilitate harmonization of Common Data Elements (CDEs) across heterogeneous biomedical datasets by addressing challenges such as semantic heterogeneity, structural variability, and context dependence to streamline integration, enhance interoperability, and accelerate scientific discovery. Our methodology leverages Large Language Models (LLMs) for context-aware text embeddings that convert CDEs into dense vectors capturing semant…

hqQUBO: A Hybrid-querying Quantum Optimization Model Validated with 16-qubits on an Ion Trap Quantum Computer for Life Science Applications
Rong Chen, Quan-Xin Mei, Wen-Ding Zhao, Lin Yao, Hao-Xiang Yang, Shun-Yao Zhang, Jiao Chen, Hong-Lin Li
https://arxiv.org/abs/2506.01559

hqQUBO: A Hybrid-querying Quantum Optimization Model Validated with 16-qubits on an Ion Trap Quantum Computer for Life Science Applications
AlphaFold has achieved groundbreaking advancements in protein structure prediction, exerting profound influence across biology, medicine, and drug discovery. However, its reliance on multiple sequence alignment (MSA) is inherently time-consuming due to the NP-hard nature of constructing MSAs. Quantum computing emerges as a promising alternative, compared to classical computers, offering the potentials for exponential speedup and improved accuracy on such complex optimization challenges. This wo…

This https://arxiv.org/abs/2505.11224 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Tracing the formation and migration history: molecular signatures in the atmosphere of misaligned hot Jupiter WASP-94Ab using JWST NIRSpec/G395H
The discovery of hot Jupiters that orbit very close to their host stars has long challenged traditional models of planetary formation and migration. Characterising their atmospheric composition - mainly in the form of the carbon-to-oxygen (C/O) ratio and metallicity - can provide insights into their formation locations and evolution pathways. With JWST we can characterise the atmospheres of these types of planets more precisely than previously possible, primarily because it allows us to determi…

This https://arxiv.org/abs/2502.05206 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Safety at Scale: A Comprehensive Survey of Large Model Safety
The rapid advancement of large models, driven by their exceptional abilities in learning and generalization through large-scale pre-training, has reshaped the landscape of Artificial Intelligence (AI). These models are now foundational to a wide range of applications, including conversational AI, recommendation systems, autonomous driving, content generation, medical diagnostics, and scientific discovery. However, their widespread deployment also exposes them to significant safety risks, raisin…

"Four Points of the Compass: The Unexpected History of Direction": how the cardinal points of the compass have changed our world view.
A journey through history, discovery, religion, maps and much more.
And how online maps and GPS are reducing its relevance.
By Jerry Brotton.
https://flic.kr/p/tAv8JZ

#Jeopardy editions as #StarTrek series:
1964–1975: TOS
1978–1979: TAS
1984–2021: TNG §
2021–present: DS9 §
Rock 'n' Roll: Lower Decks
Celebrity: Picard
Jep: Prodigy
Sports: Voyager
Pop Culture: Discovery
Happy with all but t…

Discovery of the Hybrid Response of Photoionized Gases
Zhicheng He, Tinggui Wang, Gary J. Ferland
https://arxiv.org/abs/2505.24242 https://

Discovery of the Hybrid Response of Photoionized Gases
Photoionized gases are prevalent throughout the universe. In such gases, the ion concentration typically exhibits two response modes to radiation: a positive response in the low-ionization state and a negative response in the high-ionization state. Here, we report the discovery of a widespread misalignment at the boundary between the above two response modes, and identify a third mode-the hybrid response-through time-dependent photoionization simulations. This phenomenon arises from the asynchr…

Machine Learning-Guided Discovery of Temperature-Induced Solid-Solid Phase Transitions in Inorganic Materials
Cibr\'an L\'opez, Joshua Ojih, Ming Hu, Josep Lluis Tamarit, Edgardo Saucedo, Claudio Cazorla
https://arxiv.org/abs/2506.01449

Machine Learning-Guided Discovery of Temperature-Induced Solid-Solid Phase Transitions in Inorganic Materials
Predicting solid-solid phase transitions remains a long-standing challenge in materials science. Solid-solid transformations underpin a wide range of functional properties critical to energy conversion, information storage, and thermal management technologies. However, their prediction is computationally intensive due to the need to account for finite-temperature effects. Here, we present an uncertainty-aware machine-learning-guided framework for high-throughput prediction of temperature-induce…

"A mere decade ago, astronomers knew of just 62 #moons around #Saturn. Today the ringed #planet boasts a staggering 274 official satellites. That’s more than any other world in the solar system—and far…

This https://arxiv.org/abs/2505.24584 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

AutoChemSchematic AI: A Closed-Loop, Physics-Aware Agentic Framework for Auto-Generating Chemical Process and Instrumentation Diagrams
Recent advancements in generative AI have accelerated the discovery of novel chemicals and materials; however, transitioning these discoveries to industrial-scale production remains a critical bottleneck, as it requires the development of entirely new chemical manufacturing processes. Current AI methods cannot auto-generate PFDs or PIDs, despite their critical role in scaling chemical processes, while adhering to engineering constraints. We present a closed loop, physics aware framework for the…

New long-period transient #LPT space object detected. It is the first one of which we know it is pulsing in both radio frequencies and X-ray bursts. Why? More research required. Still a fascinating object!
https://www.icrar.org/xray-tr…

Scientists solve the mystery of ginger cats – helped by hundreds of cat owners;
Discovery has implications for ‘all cells and tissues’ and research bridged gap between scientists and non-scientists
https://www.theguardian.com/us-news/2025/may/22/ginger-cats-mys…

This https://arxiv.org/abs/2505.00393 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

S3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics (Technical Report)
For the past decades, the \textit{subgraph similarity search} over a large-scale data graph has become increasingly important and crucial in many real-world applications, such as social network analysis, bioinformatics network analytics, knowledge graph discovery, and many others. While previous works on subgraph similarity search used various graph similarity metrics such as the graph isomorphism, graph edit distance, and so on, in this paper, we propose a novel problem, namely \textit{subgrap…

Huntsman may need to be irradiated
Shunyi Lan, Xiangcun Meng
https://arxiv.org/abs/2506.00537 https://arxiv.org/pdf/2506.00537…

Huntsman may need to be irradiated
Millisecond pulsars are rapidly rotating neutron stars, and it is now widely accepted that their extremely short rotation periods result from the accretion of material from a companion star. Binary evolution theory predicts that millisecond pulsars can have various types of companion stars. However, in observations, binary pulsars with giant companions, referred to as ``huntsman pulsars'', are extremely rare. Following the initial discovery of the first huntsman pulsar, 1FGL J1417.7-4407, a sec…

Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks
John Hood, Caterina De Bacco, Aaron Schein
https://arxiv.org/abs/2505.21748 https:/…

Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks
Complex systems are often driven by higher-order interactions among multiple units, naturally represented as hypergraphs. Understanding dependency structures within these hypergraphs is crucial for understanding and predicting the behavior of complex systems but is made challenging by their combinatorial complexity and computational demands. In this paper, we introduce a class of probabilistic models that efficiently represents and discovers a broad spectrum of mesoscale structure in large-scal…

Centaur Nuclei: Sizes, Shapes, Spins, and Structure
Y. R. Fernandez, M. W. Buie, P. Lacerda, R. Marschall
https://arxiv.org/abs/2506.04483 https://

Centaur Nuclei: Sizes, Shapes, Spins, and Structure
We present a wide-ranging but in-depth analysis of Centaurs, focusing on their physical and structural aspects. Centaurs, originating from the Scattered Disk and Kuiper Belt, play a crucial role in our understanding of Solar System evolution. We first examine how biases in discovery and measurement affect our understanding of the Centaur size distribution. In particular we address the strong dependence of the census on perihelion distance and the broad distribution of Centaur geometric albedos.…

Vivodyne, which uses AI and robots to grow human tissues in the lab for drug discovery and development, raised a $40M Series A, taking its total funding to $78M (Katherine Davis/Axios)
https://www.axios.com/pro/biotech-deals/2025/05…

Vivodyne raises $40M for human tissue drug testing
It's seeing heightened demand following the FDA's plans to phase out animal testing requirements.

This https://arxiv.org/abs/2503.09649 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics
Federated learning leverages data across institutions to improve clinical discovery while complying with data-sharing restrictions and protecting patient privacy. As the evolution of biobanks in genetics and systems biology has proved, accessing more extensive and varied data pools leads to a faster and more robust exploration and translation of results. More widespread use of federated learning may have the same impact in bioinformatics, allowing access to many combinations of genotypic, pheno…

Canceling the elastic Poynting effect with geometry
M. Destrade, Y. Du, J. Blackwell, N. Colgan, V. Balbi
https://arxiv.org/abs/2506.03821 https://

Canceling the elastic Poynting effect with geometry
The Poynting effect is a paragon of nonlinear soft matter mechanics. It is the tendency (found in all incompressible, isotropic, hyperelastic solids) exhibited by a soft block to expand vertically when sheared horizontally. It can be observed whenever the length of the cuboid is at least four times its thickness. Here we show that the Poynting effect can be easily reversed and the cuboid can shrink vertically, simply by reducing this aspect ratio. In principle, this discovery means that for a g…

Usability Evaluation of Cloud for HPC Applications
Vanessa Sochat, Daniel Milroy, Abhik Sarkar, Aniruddha Marathe
https://arxiv.org/abs/2506.02709 https://…

Usability Evaluation of Cloud for HPC Applications
The rise of AI and the economic dominance of cloud computing have created a new nexus of innovation for high performance computing (HPC), which has a long history of driving scientific discovery. In addition to performance needs, scientific workflows increasingly demand capabilities of cloud environments: portability, reproducibility, dynamism, and automation. As converged cloud environments emerge, there is growing need to study their fit for HPC use cases. Here we present a cross-platform usa…

This https://arxiv.org/abs/2505.15998 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Exploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics
We present a method for the automated discovery of system-level dynamics in Flow-Lenia$-$a continuous cellular automaton (CA) with mass conservation and parameter localization$-$using a curiosity-driven AI scientist. This method aims to uncover processes leading to self-organization of evolutionary and ecosystemic dynamics in CAs. We build on previous work which uses diversity search algorithms in Lenia to find self-organized individual patterns, and extend it to large environments that support…

This https://arxiv.org/abs/2504.11918 has been replaced.
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Deep learning to improve the discovery of near-Earth asteroids in the Zwicky Transient Facility
We present a novel pipeline that uses a convolutional neural network (CNN) to improve the detection capability of near-Earth asteroids (NEAs) in the context of planetary defense. Our work aims to minimize the dependency on human intervention of the current approach adopted by the Zwicky Transient Facility (ZTF). The target NEAs have a high proper motion of up to tens of degrees per day and thus appear as streaks of light in the images. We trained our CNNs to detect these streaks using three dat…

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction
Xiao-Qi Han, Ze-Feng Gao, Xin-De Wang, Zhenfeng Ouyang, Peng-Jie Guo, Zhong-Yi Lu
https://arxiv.org/abs/2506.03837

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction
The discovery of high-temperature superconducting materials holds great significance for human industry and daily life. In recent years, research on predicting superconducting transition temperatures using artificial intelligence~(AI) has gained popularity, with most of these tools claiming to achieve remarkable accuracy. However, the lack of widely accepted benchmark datasets in this field has severely hindered fair comparisons between different AI algorithms and impeded further advancement of…

This https://arxiv.org/abs/2501.02333 has been replaced.
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On The Causal Network Of Face-selective Regions In Human Brain During Movie Watching
Understanding the causal interactions in some brain tasks, such as face processing, remains a challenging and ambiguous process for researchers. In this study, we address this issue by employing a novel causal discovery method -Directed Acyclic Graphs via M-matrices for Acyclicity (DAGMA)- to investigate the causal structure of the brain's face-selective network and gain deeper insights into its mechanism. Using fMRI data of natural movie stimuli, we extract causal network of face-selective reg…

This https://arxiv.org/abs/2412.11569 has been replaced.
initial toot: https://mastoxiv.page/@ar…

The dark side of the forces: assessing non-conservative force models for atomistic machine learning
The use of machine learning to estimate the energy of a group of atoms, and the forces that drive them to more stable configurations, has revolutionized the fields of computational chemistry and materials discovery. In this domain, rigorous enforcement of symmetry and conservation laws has traditionally been considered essential. For this reason, interatomic forces are usually computed as the derivatives of the potential energy, ensuring energy conservation. Several recent works have questioned…

📝 S05E08: Teaching Uncomfortable History: The Doctrine of Discovery |https://podcast.doctrineofdiscovery.org/season5/episode-08/

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 …

This https://arxiv.org/abs/2505.22784 has been replaced.
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Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi
We present the first formal treatment of \emph{yield tokenization}, a mechanism that decomposes yield-bearing assets into principal and yield components to facilitate risk transfer and price discovery in decentralized finance (DeFi). We propose a model that characterizes yield token dynamics using stochastic differential equations. We derive a no-arbitrage pricing framework for yield tokens, enabling their use in hedging future yield volatility and managing interest rate risk in decentralized l…

This https://arxiv.org/abs/2505.20688 has been replaced.
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A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
False discovery rate (FDR) control methods are essential for voxel-wise multiple testing in neuroimaging data analysis, where hundreds of thousands or even millions of tests are conducted to detect brain regions associated with disease-related changes. Classical FDR control methods (e.g., BH, q-value, and LocalFDR) assume independence among tests and often lead to high false non-discovery rates (FNR). Although various spatial FDR control methods have been developed to improve power, they still …

Ich hoffe, @… kann uns beruhigen https://www.ft.com/content/9d2319b1-ce8f-4466-895c-a5e26495a023

From Bjorken Scaling to Scaling Violations
Giorgio Parisi
https://arxiv.org/abs/2506.03383 https://arxiv.org/pdf/2506.03383

From Bjorken Scaling to Scaling Violations
This paper traces the historical and conceptual journey from Bjorken scaling to the discovery of scaling violations in deep inelastic scattering, culminating in the development of Quantum Chromodynamics (QCD). Beginning with the challenges faced by early strong interaction theories in the 1950s, we explore the emergence of agnostic approaches such as the bootstrap philosophy and current algebra, which sought to describe hadronic phenomena without relying on specific field theories. The pivotal …

New Physics Search at the CEPC: a General Perspective
Stefan Antusch, Peter Athron, Daniele Barducci, Long Chen, Mingshui Chen, Xiang Chen, Huajie Cheng, Kingman Cheung, Joao Guimaraes da Costa, Arindam Das, Frank F. Deppisch, P. S. Bhupal Dev, Xiaokang Du, Yong Du, Yaquan Fang, Andrew Fowlie, Yu Gao, Bruce Mellado Garcia, Shao-Feng Ge, Jiayin Gu, Yu-Chen Guo, Jan Hajer, Chengcheng Han, Tao Han, Sven Heinemeyer, Fa Peng Huang, Yanping Huang, Jianfeng Jiang, Shan Jin, Liang Li, Lingfeng…

New Physics Search at the CEPC: a General Perspective
The Circular Electron-Positron Collider (CEPC), a proposed next-generation Higgs factory, provides new opportunities to explore physics beyond the Standard Model (SM). With its clean electron-positron collision environment and the ability to collect large samples of Higgs, W, and Z bosons, the CEPC enables precision measurements and searches for new physics. This white paper outlines the CEPC's discovery potential, including studies of exotic decays of the Higgs, Z, and top quarks, dark matter …

A Relativistic Jet in the Radio Quiet AGN Mrk 110
Ailing Wang, Tao An, Kenneth I. Kellermann, Hua Feng, Emmanuel K. Bempong-Manful, Roland Timmerman, Shaoguang Guo
https://arxiv.org/abs/2506.03970

A Relativistic Jet in the Radio Quiet AGN Mrk 110
We report the discovery of a relativistic jet in Mrk~110, a narrow-line Seyfert 1 galaxy historically classified as a radio-quiet active galactic nucleus (AGN). Very Long Baseline Interferometry (VLBI) observations reveal intermittent jet activity during 2015--2016 and 2022--2024, with proper motion measurements yielding superluminal velocities of $\sim3.6\pm0.6\,c$ and $\sim2.1\pm0.2\,c$, respectively. The recent jet component decelerates to $\sim 1.5\pm0.2\,c$ at a projected distance of 1.1 p…

Identity resolution of software metadata using Large Language Models
Eva Mart\'in del Pico, Josep Llu\'is Gelp\'i, Salvador Capella-Guti\'errez
https://arxiv.org/abs/2505.23500

Identity resolution of software metadata using Large Language Models
Software is an essential component of research. However, little attention has been paid to it compared with that paid to research data. Recently, there has been an increase in efforts to acknowledge and highlight the importance of software in research activities. Structured metadata from platforms like bio.tools, Bioconductor, and Galaxy ToolShed offers valuable insights into research software in the Life Sciences. Although originally intended to support discovery and integration, this metada…

Ladies and gentlemen and others, this is why I recommend hosting your own forge, like forgejo: https://mastodon.social/@mcc/114536667832141959
Also, as I recently discovered: Github git implementation is pretty dumb and reports unsolvable conflicts that are automatically solved by…

This https://arxiv.org/abs/2410.09346 has been replaced.
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Transcriptome and Redox Proteome Reveal Temporal Scales of Carbon Metabolism Regulation in Model Cyanobacteria Under Light Disturbance
We develop a systems approach based on an energy-landscape concept to differentiate interactions involving redox activities and conformational changes of proteins and nucleic acids interactions in multi-layered protein-DNA regulatory networks under light disturbance. Our approach is a data-driven modeling workflow using a physics-informed machine learning algorithm to train a non-linear mathematical model for interpreting gene expression dynamics and to lead discovery for protein regulators usi…

Mind the Gap: A Formal Investigation of the Relationship Between Log and Model Complexity -- Extended Version
Patrizia Schalk, Artem Polyvyanyy
https://arxiv.org/abs/2505.23233

Mind the Gap: A Formal Investigation of the Relationship Between Log and Model Complexity -- Extended Version
Simple process models are key for effectively communicating the outcomes of process mining. An important question in this context is whether the complexity of event logs used as inputs to process discovery algorithms can serve as a reliable indicator of the complexity of the resulting process models. Although various complexity measures for both event logs and process models have been proposed in the literature, the relationship between input and output complexity remains largely unexplored. In…

This https://arxiv.org/abs/2410.21844 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Optimizing Perishable and Non-Perishable Product Assignment to Packaging Lines in a Sustainable Manufacturing System: An AUGMECON2VIKOR Algorithm
Identifying appropriate manufacturing systems for products can be considered a pivotal manufacturing task contributing to the optimization of operational and planning activities. It has gained importance in the food industry due to the distinct constraints and considerations posed by perishable and non-perishable items in this problem. Hence, this study proposes a new mathematical model according to knowledge discovery as well as an assignment model to optimize manufacturing systems for perisha…

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa RYu
https://arxiv.org/abs/2506.00056

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy
Artificial intelligence (AI) is reshaping inverse design across manufacturing domain, enabling high-performance discovery in materials, products, and processes. However, purely data-driven approaches often struggle in realistic settings characterized by sparse data, high-dimensional design spaces, and nontrivial physical constraints. This perspective argues for a new generation of design systems that transcend black-box modeling by integrating domain knowledge, physics-informed learning, and in…

The British Antarctic Survey has opened its big new operations facility.
https://www.bas.ac.uk/media-post/major-antarctic-operations-hub-switches-on-to-support-uk-polar-science/

Major Antarctic operations hub switches on to support UK polar science - British Antarctic Survey
The British Antarctic Survey’s (BAS) new scientific support and operations facility, the Discovery Building, is now coming into operational use at Rothera Research Station in Antarctica. Marking a major milestone for the Antarctic Infrastructure Modernisation Programme (AIMP), the facility consolidates the UK’s position in global polar research.

Is this the beginning of a #SciFi story or a #horror story?
https://www.sciencealert.co…

That's a lot of Discord messages.
"The dataset comprises over 2.05 billion messages from 4.74 million users across 3,167 public servers, representing approximately 10% of servers listed in Discord's Discovery feature."
https://arxiv.org/abs/2502.00627

Multi-omic Causal Discovery using Genotypes and Gene Expression
Stephen Asiedu, David Watson
https://arxiv.org/abs/2505.15866 https://

Multi-omic Causal Discovery using Genotypes and Gene Expression
Causal discovery in multi-omic datasets is crucial for understanding the bigger picture of gene regulatory mechanisms, but remains challenging due to high dimensionality, differentiation of direct from indirect relationships, and hidden confounders. We introduce GENESIS (GEne Network inference from Expression SIgnals and SNPs), a constraint-based algorithm that leverages the natural causal precedence of genotypes to infer ancestral relationships in transcriptomic data. Unlike traditional causal…

This https://arxiv.org/abs/2310.18397 has been replaced.
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Detectable and defect-free dark photon dark matter
Ultralight dark photons are compelling dark matter candidates, but their allowed kinetic mixing with the Standard Model photon is severely constrained by requiring that the dark photons do not collapse into a cosmic string network in the early Universe. Direct detection in minimal production scenarios for dark photon dark matter is strongly limited, if not entirely excluded; discovery of sub-meV dark photon dark matter would therefore point to a nonminimal dark sector. We describe a model that …

Loving Vampire lore and being a big fan of #BtVS Buffy The Vampire Slayer I went in to #Netflix The Discovery Of Witches as yeah, seen that, done that. But now into the 2nd season I'm really getting the vibe and story line. Both Theresa Palmer and Matthew Goode excel in their roles and bring …

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models
Baolin Zheng, Guanlin Chen, Hongqiong Zhong, Qingyang Teng, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Huiyun Jing, Jincheng Wei, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang
https://arxiv.org/abs/2505.23793…

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models
Despite their remarkable achievements and widespread adoption, Multimodal Large Language Models (MLLMs) have revealed significant security vulnerabilities, highlighting the urgent need for robust safety evaluation benchmarks. Existing MLLM safety benchmarks, however, fall short in terms of data quality and coverge, and modal risk combinations, resulting in inflated and contradictory evaluation results, which hinders the discovery and governance of security concerns. Besides, we argue that vulne…

This https://arxiv.org/abs/2412.13727 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Open Superclusters II. Discovery of an Inactive Supercluster Including a New Star Cluster in the Solar Neighborhood
The number of known star clusters, associations, and moving groups in the vicinity of the Sun has increased significantly due to the use of Gaia data. We investigated the existence and properties of open superclusters (OSC) within 500 pc of the Sun, with a particular focus on a newly identified OSC, designated HC8. Using advanced Gaia-derived astrometric data and star cluster catalogs, we identify and analyze member stars of various clusters, deriving key parameters such as ages, distances, ext…

First-Principles and Machine Learning Investigation of the Structural and Optoelectronic Properties of Dodecaphenylyne: A Novel Carbon Allotrope
Kleuton A. L. Lima, Jose A. S. Laranjeira, Nicolas F. Martins, Julio R. Sambrano, Alexandre C. Dias, Luiz A. Ribeiro Junior, Douglas S. Galvao
https://arxiv.org/abs/2506.02218

First-Principles and Machine Learning Investigation of the Structural and Optoelectronic Properties of Dodecaphenylyne: A Novel Carbon Allotrope
We report the computational discovery and characterization of Dodecaphenylyne (DP), a novel carbon allotrope with a distinctive geometric arrangement. DP structural, thermodynamic, mechanical, electronic, and optical properties were evaluated using density functional theory and a machine learning interatomic potential trained explicitly for this material. The formation energy of -7.98 eV/atom indicates high thermodynamic stability, further supported by the absence of imaginary phonon modes and …

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning
Yihan Zhu, Gang Liu, Eric Inae, Meng Jiang
https://arxiv.org/abs/2506.00009

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning
Small molecules are essential to drug discovery, and graph-language models hold promise for learning molecular properties and functions from text. However, existing molecule-text datasets are limited in scale and informativeness, restricting the training of generalizable multimodal models. We present MolTextNet, a dataset of 2.5 million high-quality molecule-text pairs designed to overcome these limitations. To construct it, we propose a synthetic text generation pipeline that integrates struct…

This https://arxiv.org/abs/2505.18492 has been replaced.
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Enumerate-Conjecture-Prove: Formally Solving Answer-Construction Problems in Math Competitions
Mathematical reasoning lies at the heart of artificial intelligence, underpinning applications in education, program verification, and research-level mathematical discovery. Mathematical competitions, in particular, present two challenging problem types: theorem-proving, requiring rigorous proofs of stated conclusions, and answer-construction, involving hypothesizing and formally verifying mathematical objects. Large Language Models (LLMs) effectively generate creative candidate answers but str…

This https://arxiv.org/abs/2502.01452 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Bayesian Deep-stacking for High-energy Neutrino Searches
Following the discovery of the brightest high-energy neutrino sources in the sky, the further detection of fainter sources is more challenging. A natural solution is to combine fainter source candidates, and instead of individual detections, aim to identify and learn about the properties of a larger population. Due to the discreteness of high-energy neutrinos, they can be detected from distant very faint sources as well, making a statistical search benefit from the combination of a large number…

Anyon delocalization transitions out of a disordered FQAH insulator
Zhengyan Darius Shi, T. Senthil
https://arxiv.org/abs/2506.02128 https://

Anyon delocalization transitions out of a disordered FQAH insulator
Motivated by the experimental discovery of the fractional quantum anomalous Hall (FQAH) effect, we develop a theory of doping-induced transitions out of the $ν= 2/3$ lattice Jain state in the presence of quenched disorder. We show that disorder strongly affects the evolution into the conducting phases described in our previous work. The delocalization of charge $2/3$ anyons leads to a chiral topological superconductor through a direct second order transition for a smooth random potential with …

Rootin' Tootin' Efficient Ray Shootin': Creating Microlensing Magnification Maps with GPUs
Luke Weisenbach
https://arxiv.org/abs/2506.02114 htt…

Rootin' Tootin' Efficient Ray Shootin': Creating Microlensing Magnification Maps with GPUs
The impending discovery and monitoring of hundreds of new gravitationally lensed quasars and supernovae from upcoming ground and space based large area surveys such as LSST, \textit{Euclid}, and \textit{Roman} necessitates the development of improved numerical methods for studying gravitational microlensing. We present in this work the fastest microlensing map generation code currently publicly available. We utilize graphics processing units to take advantage of the inherent parallelizable natu…

Benchmark brown dwarfs -- I. A blue M2 T5 wide binary and a probable young M4 [T7 T8] hierarchical triple
Z. H. Zhang, F. Navarete, M. C. G\'alvez-Ortiz, H. R. A. Jones, A. J. Burgasser, P. Cruz, F. Marocco, N. Lodieu, Y. Shan, B. Gauza, R. Raddi, M. R. Huang, R. L. Smart, S. Baig, G. Cheng, D. J. Pinfield
https://arxi…

Benchmark brown dwarfs -- I. A blue M2 + T5 wide binary and a probable young M4 + [T7 + T8] hierarchical triple
Benchmark brown dwarfs in wide binary systems are crucial for characterizing substellar objects and calibrating atmospheric and evolutionary models. However, brown dwarf benchmarks with subsolar metallicity, very cool temperatures, or suitability for dynamical mass measurements are rare, limiting our understanding across the full range of mass, age, and metallicity. We present the discovery of two new multiple systems containing T dwarf companions, identified through a targeted search using Cat…

Superconducting gaps revealed by STM measurements on La2PrNi2O7 thin films at ambient pressure
Shengtai Fan, Mengjun Ou, Marius Scholten, Qing Li, Zhiyuan Shang, Yi Wang, Jiasen Xu, Huan Yang, Ilya M. Eremin, Hai-Hu Wen
https://arxiv.org/abs/2506.01788

Superconducting gaps revealed by STM measurements on La2PrNi2O7 thin films at ambient pressure
The recent discovery of superconductivity in nickelate systems has generated tremendous interests in the field of superconductivity. The superconducting transition temperature above 80 K in La3Ni2O7 under pressure and the coexisting spin excitations certainly categorize the nickelate superconductors as unconventional. The core issue to understand the superconductivity mechanism is about the superconducting gap and its symmetry. By using the substrate of SrLaAlO4(00l), we have successfully synth…

This https://arxiv.org/abs/2410.21844 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Optimizing Perishable and Non-Perishable Product Assignment to Packaging Lines in a Sustainable Manufacturing System: An AUGMECON2VIKOR Algorithm
Identifying appropriate manufacturing systems for products can be considered a pivotal manufacturing task contributing to the optimization of operational and planning activities. It has gained importance in the food industry due to the distinct constraints and considerations posed by perishable and non-perishable items in this problem. Hence, this study proposes a new mathematical model according to knowledge discovery as well as an assignment model to optimize manufacturing systems for perisha…

Topology meets symmetry breaking: Hidden order, intrinsically gapless topological states and finite-temperature topological transitions
Reja H. Wilke, Henning Schl\"omer, Simon M. Linsel, Annabelle Bohrdt, Fabian Grusdt
https://arxiv.org/abs/2506.03146

Topology meets symmetry breaking: Hidden order, intrinsically gapless topological states and finite-temperature topological transitions
Since the discovery of phase transitions driven by topological defects, the classification of phases of matter has been significantly extended beyond Ginzburg and Landau's paradigm of spontaneous symmetry breaking (SSB). In particular, intrinsic and symmetry-protected topological (SPT) orders have been discovered in (mostly gapped) quantum many-body ground states. However, these are commonly viewed as zero-temperature phenomena, and their robustness in a gapless ground state or against thermal …

Is this the beginning of a #SciFi story or a #horror story?
https://www.sciencealert.co…

This https://arxiv.org/abs/2306.02206 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI
Herein, we present the application of MEGAN, our explainable AI (xAI) model, for the identification of small colloidally aggregating molecules (SCAMs). This work offers solutions to the long-standing problem of false positives caused by SCAMs in high throughput screening for drug discovery and demonstrates the power of xAI in the classification of molecular properties that are not chemically intuitive based on our current understanding. We leverage xAI insights and molecular counterfactuals to …

A Fuzzy Situation Eased: Cold Dark Matter with Multipoles Can Explain The Double Radio Quad Lens HS 0810 2554
John H. Miller Jr, Liliya L. R. Williams
https://arxiv.org/abs/2506.03132

A Fuzzy Situation Eased: Cold Dark Matter with Multipoles Can Explain The Double Radio Quad Lens HS 0810+2554
Originally observed in isophotal density contours of elliptical galaxies, higher order perturbations in the form of Fourier modes, or multipoles, are becoming increasingly recognized as necessary to account for angular mass complexity in strong lensing analyses. When smooth, elliptical CDM mass models fail, multipoles often emerge as solutions. With the discovery of two radio jets in the source quasar, the strong gravitational lens HS 0810+2554 can no longer be well fit by elliptical mass model…

Chasing Serendipity: Tackling Transient Sources with Neutrino Telescopes
Lua F. T. Airoldi, Gustavo F. S. Alves, Yuber F. Perez-Gonzalez, Gabriel M. Salla, Renata Zukanovich Funchal
https://arxiv.org/abs/2505.24652

Chasing Serendipity: Tackling Transient Sources with Neutrino Telescopes
The discovery of ultra-high-energy neutrinos by IceCube marked the beginning of neutrino astronomy. Yet, the origin and production mechanisms of these neutrinos remain open questions. With the recent observation of the highest-energy neutrino event to date by the KM3NeT collaboration, transient sources - astrophysical objects that emit particles in brief, localized bursts - have emerged as promising candidates. In this work, we revisit the identification of such sources in IceCube and future ne…

This https://arxiv.org/abs/2503.04336 has been replaced.
initial toot: https://mastoxiv.page/@a…

Mechanisms driving robust high-temperature superconductivity in complex metal hydrides under moderate pressure
The discovery of near-room-temperature superconductivity in compressed hydrides has sparked intensive research efforts to identify superconducting hydrides stable at low or even ambient pressures. Herein, we demonstrate a new mechanism for achieving robust superconductivity in complex metal hydrides under moderate pressure, using Li3IrH9 as a paradigmatic example. This compound displays unique electronic structural characteristics where the broadening and overlap between antibonding electronic …

Symmetry-protected electronic metastability in an optically driven cuprate ladder
Hari Padma, Filippo Glerean, Sophia F. R. TenHuisen, Zecheng Shen, Haoxin Wang, Luogen Xu, Joshua D. Elliott, Christopher C. Homes, Elizabeth Skoropata, Hiroki Ueda, Biaolong Liu, Eugenio Paris, Arnau Romaguera, Byungjune Lee, Wei He, Yu Wang, Seng Huat Lee, Hyeongi Choi, Sang-Youn Park, Zhiqiang Mao, Matteo Calandra, Hoyoung Jang, Elia Razzoli, Mark P. M. Dean, Yao Wang, Matteo Mitrano

Symmetry-protected electronic metastability in an optically driven cuprate ladder
Optically excited quantum materials exhibit nonequilibrium states with remarkable emergent properties, but these phenomena are usually transient, decaying on picosecond timescales and limiting practical applications. Advancing the design and control of nonequilibrium phases requires the development of targeted strategies to achieve long-lived, metastable phases. Here, we report the discovery of symmetry-protected electronic metastability in the model cuprate ladder Sr$_{14}$Cu$_{24}$O$_{41}$. U…

Observations of non complex organic molecules in the gas phase of the interstellar medium
Charlotte Vastel, Francesco Fontani
https://arxiv.org/abs/2506.02641

Observations of non complex organic molecules in the gas phase of the interstellar medium
The field of astrochemistry has seen major advances triggered by the completion of new powerful radio telescopes, with gains in sensitivity of receivers and in bandwidth. To date, about 330 molecular species are detected, in interstellar clouds, circumstellar shells and even extragalactic sources. The first interstellar molecules were first discovered through their electronic transitions in the visual and near UV regions of the spectra in the 1930s. Then the discovery of (pure) rotational trans…

Evidence of Gaia Enceladus experiencing at least two passages around the Milky Way
\'Asa Sk\'ulad\'ottir, Heitor Ernandes, Diane K. Feuillet, Alice Mori, Sofia Feltzing, Romain E. R. Lucchesi, Paola Di Matteo
https://arxiv.org/abs/2506.00409

Evidence of Gaia Enceladus experiencing at least two passages around the Milky Way
One of the major recent breakthroughs has been the discovery of the last Major Merger to happen in the history of the Milky Way. Around 10 Gyr ago the galaxy Gaia Enceladus, with estimated ~10% of the Milky Way mass, fell into its potential, bringing a large amount of stars which can be identified through their unique chemical and kinematic signatures. Simulations have long predicted that a galaxy of this size should experience several passages through the disk of the Milky Way before eventuall…

A Be star-black hole binary with a wide orbit from LAMOST time-domain survey
Qian-Yu An, Yang Huang, Wei-Min Gu, Yong Shao, Zhi-Xiang Zhang, Tuan Yi, B. D. Lailey, T. A. A. Sigut, Kyle Akira Rocha, Meng Sun, Seth Gossage, Shi-Jie Gao, Shan-Shan Weng, Song Wang, Bowen Zhang, Xinlin Zhao, Senyu Qi, Shilong Liao, Jianghui Ji, Junfeng Wang, Jianfeng Wu, Mouyuan Sun, Xiang-Dong Li, Jifeng Liu

A Be star-black hole binary with a wide orbit from LAMOST time-domain survey
Binary systems consisting of an early type star and a black hole (BH) are crucial for understanding various astrophysical phenomena, particularly the origins of detected gravitational wave sources. Be binary systems are expected to represent a key evolutionary stage in hosting BHs. However, while hundreds of Be X-ray binaries are known, the only confirmed BH candidate in a Be binary remains highly controversial. We report the discovery of ALS 8814, a Be star-BH binary with a moderately eccentri…

This https://arxiv.org/abs/2502.08698 has been replaced.
initial toot: https://mastoxiv.page/@arX…

The Saga of $α$-RuCl$_3$: Parameters, Models, and Phase Diagrams
RuCl$_3$ was likely the first ever deliberately synthesized ruthenium compound, following the discovery of the $_{44}$Ru element in 1844. For a long time it was known as an oxidation catalyst, with its physical properties being discrepant and confusing, until a decade ago when its allotropic form $α$-RuCl$_3$ rose to exceptional prominence. This "re-discovery" of $α$-RuCl$_3$ has not only reshaped the hunt for a material manifestation of the Kitaev spin liquid, but it has opened the floodgate…

This https://arxiv.org/abs/2505.04825 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

SHELLQs. Bridging the gap: JWST unveils obscured quasars in the most luminous galaxies at z > 6
The unprecedented sensitivity of the James Webb Space Telescope (JWST) has uncovered a surprisingly abundant population of mildly obscured, low-luminosity active galactic nuclei (AGNs) in the epoch of reionization (EoR). However, the link between these objects and classical unobscured quasars remains a mystery. Here we report the discovery of obscured quasars hosted by the most luminous galaxies at $z > 6$, possibly bridging the gap between the two AGN populations. The 13 objects presented here…