Tootfinder

Replaced article(s) found for cond-mat.mtrl-sci. https://arxiv.org/list/cond-mat.mtrl-sci/new
[1/1]:
DFT U J with linear response parameters predicts non-magnetic oxide band gaps with hybrid-functio...

STFT-based Time-Frequency Mode Decomposition: A Fast and Robust Method for Multicomponent Signal Analysis
Wei Zhou, Wei-Jian Li, Wei-Xin Ren
https://arxiv.org/abs/2507.11919

STFT-based Time-Frequency Mode Decomposition: A Fast and Robust Method for Multicomponent Signal Analysis
The decomposition of complex, multicomponent, and non-stationary signals into their constituent modes is a fundamental yet significant challenge in science and engineering. Existing methods often struggle with a trade-off among accuracy, computational cost, and the need for prior information such as the number of modes. This paper introduces time-frequency mode decomposition (TFMD), a novel framework for the fast, robust, and adaptive decomposition of such signals. TFMD operates on the principl…

Intrinsically photosensitive retinal ganglion cells and visual processing: ipRGCs beyond non-image-forming functions https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2025.1635101/full What does this mean for retinal impl…

Frontiers | Intrinsically photosensitive retinal ganglion cells and visual processing: ipRGCs beyond non-image-forming functions
Intrinsically photosensitive retinal ganglion cells (ipRGCs) are relatively newly discovered photoreceptors other than rods and cones. For the last decade, p...

Why does the membrane potential of biological neuron develop and remain stable?
J\'anos V\'egh
https://arxiv.org/abs/2507.11448 https://

Why does the membrane potential of biological neuron develop and remain stable?
The neuronal electric operation can entirely be described by physics provided that we take into account that slow positive ions instead of fast light electrons are the charge carriers that biology uses. Based on the slow ions, we derive the correct physical model that Hodgkin and Huxley wanted. By using laws of electricity and thermodynamics in a non-disciplinary way, we derive the resting potential from the first principles of science, from the biological "construction" (the thickness of the i…

Civil (common) law countries like the (non-)binding obligations of Kyoto (Paris) https://www.sciencedirect.com/science/article/pii/S0140988325005468 @…

Here are the three primary kinds of community-based events we’ll be sponsoring during 31 Days of Action:

Open/community lab meetings over Zoom or live-streamed lab tours/demos

Teach-ins at local community centers, churches, parks, basically anywhere that’s not a college campus

Stand Up For Science tabling and demos that include “Ask a Scientist” booths,
pond water under a microscope,
strawberry DNA extraction,
egg drop competitions, …

SUFS 31 Days of Action Guidebook
🧬 WHAT IS STAND UP FOR SCIENCE? Stand Up for Science (SUFS) is a 501(c)(4) non-profit organization born from the rallies held in cities throughout the United States and around the world on March 7th, 2025. We believe that science is a public good that benefits everyone, and we’re leading...

In-orbit Spectral Calibration Prospects for the COSI Space Telescope
Aravind B. Valluvan, Steven E. Boggs, Savitri Gallego, Jarred Roberts, Gabriel Brewster, Sophia Haight, Carolyn Kierans, Sean Pike, Albert Y. Shih, John A. Tomsick, Andreas Zogaluer
https://arxiv.org/abs/2508.10172

In-orbit Spectral Calibration Prospects for the COSI Space Telescope
The Compton Spectrometer and Imager is an upcoming NASA space telescope in the MeV range. COSI's primary science goals include precisely mapping nuclear line and positron annihilation emission in the Milky Way galaxy through Compton imaging. This relies on our ability to maintain COSI's spectral performance over its mission lifetime. Changes to the detectors' gain characteristics over time will result in a non-linear stretching of the entire energy range. Moreover, observations from past MeV te…

Like a coin spinning in the air: the effect of (non-)metaphorical explanations on comprehension and attitudes towards quantum technology
Aletta Lucia Meinsma, W. Gudrun Reijnierse, Julia Cramer
https://arxiv.org/abs/2506.10539

Like a coin spinning in the air: the effect of (non-)metaphorical explanations on comprehension and attitudes towards quantum technology
The complexity of the science underlying quantum technology may pose a barrier to its democratization. This study investigated whether metaphors improve comprehension of, and shape attitudes toward, quantum technology. In an online experiment (n = 1,167 participants representative of the Dutch population), participants read a news article that included a metaphorical, non-metaphorical, or no explanation of a quantum phenomenon. Both explanation types reduced perceived comprehension of the news …

A cavity array microscope for parallel single-atom interfacing
Adam L. Shaw, Anna Soper, Danial Shadmany, Aishwarya Kumar, Lukas Palm, Da-Yeon Koh, Vassilios Kaxiras, Lavanya Taneja, Matt Jaffe, David I. Schuster, Jonathan Simon
https://arxiv.org/abs/2506.10919

A cavity array microscope for parallel single-atom interfacing
Neutral atom arrays and optical cavity QED systems have developed in parallel as central pillars of modern experimental quantum science. While each platform has demonstrated exceptional capabilities-such as high-fidelity quantum logic in atom arrays, and strong light-matter coupling in cavities-their combination holds promise for realizing fast and non-destructive atom measurement, building large-scale quantum networks, and engineering hybrid atom-photon Hamiltonians. However, to date, experime…

🍺 Rice could be key to brewing better non-alcoholic beer
https://arstechnica.com/science/2025/07/rice-could-be-key-to-brewing-better-non-alcoholic-beer/

Rice could be key to brewing better non-alcoholic beer
“It’s time we move beyond outdated perceptions and recognize what rice can offer in creating beer.”…

Time-frequency feature calculation of multi-stage audiovisual neural processing via electroencephalogram microstates https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2025.1643554/full OK, so what does this mean for visua…

Frontiers | Time-frequency feature calculation of multi-stage audiovisual neural processing via electroencephalogram microstates
IntroductionAudiovisual (AV) perception is a fundamental modality for environmental cognition and social communication, involving complex, non-linear multise...

Cognitive Loop via In-Situ Optimization: Self-Adaptive Reasoning for Science
Newman Cheng, Gordon Broadbent, William Chappell
https://arxiv.org/abs/2508.02789 https://

Cognitive Loop via In-Situ Optimization: Self-Adaptive Reasoning for Science
The capacity for artificial intelligence (AI) to formulate, evolve, and test altered thought patterns under dynamic conditions indicates advanced cognition that is crucial for scientific discovery. The existing AI development landscape falls into two categories: 1) frameworks over non-reasoning models that natively incorporate opinions on how humans think, and 2) reasoning models that abstract precise control of the reasoning intuition away from end users. While powerful, for scientists to maxi…

This https://arxiv.org/abs/2102.00055 has been replaced.
link: https://scholar.google.com/scholar?q=a

Lower Bounds on Information Requirements for Causal Network Inference
Recovery of the causal structure of dynamic networks from noisy measurements has long been a problem of interest across many areas of science and engineering. Many algorithms have been proposed, but there is little work that compares the performance of the algorithms to converse bounds in a non-asymptotic setting. As a step to address this problem, this paper gives lower bounds on the error probability for causal network support recovery in a linear Gaussian setting. The bounds are based on Mon…

Should we teach vibe coding? Here's why not.
Should AI coding be taught in undergrad CS education?
1/2
I teach undergraduate computer science labs, including for intro and more-advanced core courses. I don't publish (non-negligible) scholarly work in the area, but I've got years of craft expertise in course design, and I do follow the academic literature to some degree. In other words, In not the world's leading expert, but I have spent a lot of time thinking about course design, and consider myself competent at it, with plenty of direct experience in what knowledge & skills I can expect from students as they move through the curriculum.
I'm also strongly against most uses of what's called "AI" these days (specifically, generative deep neutral networks as supplied by our current cadre of techbro). There are a surprising number of completely orthogonal reasons to oppose the use of these systems, and a very limited number of reasonable exceptions (overcoming accessibility barriers is an example). On the grounds of environmental and digital-commons-pollution costs alone, using specifically the largest/newest models is unethical in most cases.
But as any good teacher should, I constantly question these evaluations, because I worry about the impact on my students should I eschew teaching relevant tech for bad reasons (and even for his reasons). I also want to make my reasoning clear to students, who should absolutely question me on this. That inspired me to ask a simple question: ignoring for one moment the ethical objections (which we shouldn't, of course; they're very stark), at what level in the CS major could I expect to teach a course about programming with AI assistance, and expect students to succeed at a more technically demanding final project than a course at the same level where students were banned from using AI? In other words, at what level would I expect students to actually benefit from AI coding "assistance?"
To be clear, I'm assuming that students aren't using AI in other aspects of coursework: the topic of using AI to "help you study" is a separate one (TL;DR it's gross value is not negative, but it's mostly not worth the harm to your metacognitive abilities, which AI-induced changes to the digital commons are making more important than ever).
So what's my answer to this question?
If I'm being incredibly optimistic, senior year. Slightly less optimistic, second year of a masters program. Realistic? Maybe never.
The interesting bit for you-the-reader is: why is this my answer? (Especially given that students would probably self-report significant gains at lower levels.) To start with, [this paper where experienced developers thought that AI assistance sped up their work on real tasks when in fact it slowed it down] (https://arxiv.org/abs/2507.09089) is informative. There are a lot of differences in task between experienced devs solving real bugs and students working on a class project, but it's important to understand that we shouldn't have a baseline expectation that AI coding "assistants" will speed things up in the best of circumstances, and we shouldn't trust self-reports of productivity (or the AI hype machine in general).
Now we might imagine that coding assistants will be better at helping with a student project than at helping with fixing bugs in open-source software, since it's a much easier task. For many programming assignments that have a fixed answer, we know that many AI assistants can just spit out a solution based on prompting them with the problem description (there's another elephant in the room here to do with learning outcomes regardless of project success, but we'll ignore this over too, my focus here is on project complexity reach, not learning outcomes). My question is about more open-ended projects, not assignments with an expected answer. Here's a second study (by one of my colleagues) about novices using AI assistance for programming tasks. It showcases how difficult it is to use AI tools well, and some of these stumbling blocks that novices in particular face.
But what about intermediate students? Might there be some level where the AI is helpful because the task is still relatively simple and the students are good enough to handle it? The problem with this is that as task complexity increases, so does the likelihood of the AI generating (or copying) code that uses more complex constructs which a student doesn't understand. Let's say I have second year students writing interactive websites with JavaScript. Without a lot of care that those students don't know how to deploy, the AI is likely to suggest code that depends on several different frameworks, from React to JQuery, without actually setting up or including those frameworks, and of course three students would be way out of their depth trying to do that. This is a general problem: each programming class carefully limits the specific code frameworks and constructs it expects students to know based on the material it covers. There is no feasible way to limit an AI assistant to a fixed set of constructs or frameworks, using current designs. There are alternate designs where this would be possible (like AI search through adaptation from a controlled library of snippets) but those would be entirely different tools.
So what happens on a sizeable class project where the AI has dropped in buggy code, especially if it uses code constructs the students don't understand? Best case, they understand that they don't understand and re-prompt, or ask for help from an instructor or TA quickly who helps them get rid of the stuff they don't understand and re-prompt or manually add stuff they do. Average case: they waste several hours and/or sweep the bugs partly under the rug, resulting in a project with significant defects. Students in their second and even third years of a CS major still have a lot to learn about debugging, and usually have significant gaps in their knowledge of even their most comfortable programming language. I do think regardless of AI we as teachers need to get better at teaching debugging skills, but the knowledge gaps are inevitable because there's just too much to know. In Python, for example, the LLM is going to spit out yields, async functions, try/finally, maybe even something like a while/else, or with recent training data, the walrus operator. I can't expect even a fraction of 3rd year students who have worked with Python since their first year to know about all these things, and based on how students approach projects where they have studied all the relevant constructs but have forgotten some, I'm not optimistic seeing these things will magically become learning opportunities. Student projects are better off working with a limited subset of full programming languages that the students have actually learned, and using AI coding assistants as currently designed makes this impossible. Beyond that, even when the "assistant" just introduces bugs using syntax the students understand, even through their 4th year many students struggle to understand the operation of moderately complex code they've written themselves, let alone written by someone else. Having access to an AI that will confidently offer incorrect explanations for bugs will make this worse.
To be sure a small minority of students will be able to overcome these problems, but that minority is the group that has a good grasp of the fundamentals and has broadened their knowledge through self-study, which earlier AI-reliant classes would make less likely to happen. In any case, I care about the average student, since we already have plenty of stuff about our institutions that makes life easier for a favored few while being worse for the average student (note that our construction of that favored few as the "good" students is a large part of this problem).
To summarize: because AI assistants introduce excess code complexity and difficult-to-debug bugs, they'll slow down rather than speed up project progress for the average student on moderately complex projects. On a fixed deadline, they'll result in worse projects, or necessitate less ambitious project scoping to ensure adequate completion, and I expect this remains broadly true through 4-6 years of study in most programs (don't take this as an endorsement of AI "assistants" for masters students; we've ignored a lot of other problems along the way).
There's a related problem: solving open-ended project assignments well ultimately depends on deeply understanding the problem, and AI "assistants" allow students to put a lot of code in their file without spending much time thinking about the problem or building an understanding of it. This is awful for learning outcomes, but also bad for project success. Getting students to see the value of thinking deeply about a problem is a thorny pedagogical puzzle at the best of times, and allowing the use of AI "assistants" makes the problem much much worse. This is another area I hope to see (or even drive) pedagogical improvement in, for what it's worth.
1/2

Well, maybe we’ll get swamped with excellent applications when we (hopefully) have an opening for a PhD position in fall…
But requiring French limits the candidate pool so much, I guess it won’t make any difference.
https://mastodon.social/@Sheril/114557615125630255…

Information Transport in Classic-Quantum Hybrid System
Julian Rapp, Radhika H. Joshi, Alwin van Steensel, Yuli V. Nazarov, Mohammad H. Ansari
https://arxiv.org/abs/2508.07870 ht…

Information Transport in Classic-Quantum Hybrid System
Many important quantities in quantum information science, such as entropy and entanglement, are non-linear functions of the density matrix and cannot be expressed as operator observables. Standard open-system approaches evolve only a single copy of the density matrix, making it impossible to track the dynamics of such quantities. A formalism proposed by some of the present authors addressed this challenge by evolving multiple virtual replicas, but was limited to the weak-coupling regime. Here, …

Open Science, Open Innovation? The Role of Open Access in Patenting Activity
Abdelghani Maddi (GEMASS), Ahmad Yaman Abdin, Francesco Fdp de Pretis
https://arxiv.org/abs/2508.00829

Open Science, Open Innovation? The Role of Open Access in Patenting Activity
Scientific knowledge is a key driver of technological innovation, shaping industrial development and policy decisions worldwide. Understanding how patents incorporate scientific research is essential for assessing the role of academic discoveries in technological progress. Non-Patent References (NPRs) provide a useful indicator of this relationship by revealing the extent to which patents draw upon scientific literature. Here, we show that reliance on scientific research in patents varies signi…

Unlocking New Paths for Science with Extreme-Mass-Ratio Inspirals: Machine Learning-Enhanced MCMC for Accurate Parameter Inversion
Bo Liang, Chang Liu, Hanlin Song, Zhenwei Lyu, Minghui Du, Peng Xu, Ziren Luo, Sensen He, Haohao Gu, Tianyu Zhao, Manjia Liang Yuxiang Xu, Li-e Qiang, Mingming Sun, Wei-Liang Qian
https://arxiv.org/abs/2508.003…

Unlocking New Paths for Science with Extreme-Mass-Ratio Inspirals: Machine Learning-Enhanced MCMC for Accurate Parameter Inversion
The detection of gravitational waves from extreme-mass-ratio inspirals (EMRIs) in space-borne antennas like LISA and Taiji promises deep insights into strong-field gravity and black hole astrophysics. However, the complex, non-convex likelihood landscapes of EMRI signals (compounded by instrumental noises) have long hindered reliable parameter estimation based on traditional Markov Chain Monte Carlo (MCMC) methods, which often fail to escape local optima or require impractical computational cos…

I like how #Murderbot (AppleTV ) lampoons its human cast - which is a somewhat "hippie" science crew that includes a non-binary team member - without being mean or lame. The titular Murderbot sees the crew's traits (soft, icky & unpredictable) as annoying because to him they are human traits and the show creates funny situations in that universe. It's not the case that the…

IoT and Older Adults: Towards Multimodal EMG and AI-Based Interaction with Smart Home
Wies{\l}aw Kope\'c, Jaros{\l}aw Kowalski, Aleksander Majda, Anna Duszyk-Bogorodzka, Anna Jaskulska, Cezary Biele
https://arxiv.org/abs/2507.19479

IoT and Older Adults: Towards Multimodal EMG and AI-Based Interaction with Smart Home
We report preliminary insights from an exploratory study on non-standard non-invasive interfaces for Smart Home Technologies (SHT). This study is part of a broader research project on effective Smart Home ecosystem Sagacity that will target older adults, impaired persons, and other groups disadvantaged in the main technology discourse. Therefore, this research is in line with a long-term research framework of the HASE research group (Human Aspects in Science and Engineering) by the Living Lab K…

Replaced article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Fair Division with Bounded Sharing: Binary and Non-Degenerate Valuations
Samuel Bismuth, Ivan Bliznets, Erel Segal-Halevi

Mean velocity profile in stably stratified channel turbulence
Sanath Kotturshettar, Pedro Costa, Rene Pecnik
https://arxiv.org/abs/2508.03349 https://arxiv…

Mean velocity profile in stably stratified channel turbulence
The Monin-Obukhov Similarity Theory (MOST) is a cornerstone of atmospheric science for describing turbulence in stable boundary layers. Extending MOST to stably stratified turbulent channel flows, however, is non-trivial due to confinement by solid walls and the much smaller turbulent length scales involved. In this study, we investigate the applicability of MOST in closed channels and identify where and to what extent the theory remains valid. A key finding is that the ratio of the half-channe…

Hyperbolic tiling neighborhoods in O(1) time
Yanick Thurn, Manuel Schrauth, Johanna Erdmenger
https://arxiv.org/abs/2508.04765 https://arxiv.org/pdf/2508.0…

Hyperbolic tiling neighborhoods in O(1) time
Tilings of the hyperbolic plane are of significant interest among many branches of mathematics, physics and computer science. Yet, their construction remains a non-trivial task. Current approaches primarily use tree-based recursive algorithms, which are fundamentally limited: they do not readily yield the neighborhood graph representing cell adjacencies, which is however required for many applications. We introduce a novel approach that allows to build hyperbolic tilings and their associated gr…

Temperature-Dependent Evolution of Coherence, Entropy, and Photon Statistics in Photoluminescence
Tomer Bar Lev, Carmel Rotschild
https://arxiv.org/abs/2508.01953 https://

Temperature-Dependent Evolution of Coherence, Entropy, and Photon Statistics in Photoluminescence
Photoluminescence (PL) is a fundamental light-matter interaction in which absorbed photons are re-emitted, playing a key role in science and engineering. It is commonly modeled by introducing a non-zero chemical potential into Planck's law to capture its deviation from thermal emission. In this work, we establish, for the first time to our knowledge, a fundamental relationship that expresses the chemical potential as a function of temperature, material properties, and excitation conditions, ena…

VQA support to Arabic Language Learning Educational Tool
Khaled Bachir Delassi (LIM Lab, Amar Telidji University, Laghouat, Algeria), Lakhdar Zeggane (LIM Lab, Amar Telidji University, Laghouat, Algeria), Hadda Cherroun (LIM Lab, Amar Telidji University, Laghouat, Algeria), Abdelhamid Haouhat (LIM Lab, Amar Telidji University, Laghouat, Algeria), Kaoutar Bouzouad (Computer Science Dept., USTHB, Algiers, Algeria)

VQA support to Arabic Language Learning Educational Tool
We address the problem of scarcity of educational Arabic Language Learning tools that advocate modern pedagogical models such as active learning which ensures language proficiency. In fact, we investigate the design and evaluation of an AI-powered educational tool designed to enhance Arabic language learning for non-native speakers with beginner-to-intermediate proficiency level. The tool leverages advanced AI models to generate interactive visual quizzes, deploying Visual Question Answering as…

(PDF) Guiding sightless people one dimension at a time: how the strategy used in spontaneous voice instructions benefits sonification-based guidance https://hal.science/hal-05165934v1 On sensory substitution for the blind

This https://arxiv.org/abs/2405.20198 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Well-posedness of Hibler's parabolic-hyperbolic sea ice model
This paper proves the local-in-time strong well-posedness of a parabolic-hyperbolic regularized version of Hibler's sea ice model. Hibler's model is the most frequently used sea ice model in climate science. Lagrangian coordinates are employed to handle the hyperbolic terms in the balance laws. The resulting problem is regarded as a quasilinear non-autonomous evolution equation. Maximal $\mathrm{L}^p$-regularity of the underlying linearized problem is obtained on an anisotropic ground space in …

The Making of a Community Dark Matter Dataset with the National Science Data Fabric
Amy Roberts, Jack Marquez, Kin Hong NG, Kitty Mickelson, Aashish Panta, Giorgio Scorzelli, Amy Gooch, Prisca Cushman, Matthew Fritts, Himangshu Neog, Valerio Pascucci, Michela Taufer
https://arxiv.org/abs/2507.13297…

The Making of a Community Dark Matter Dataset with the National Science Data Fabric
Dark matter is believed to constitute approximately 85 percent of the universes matter, yet its fundamental nature remains elusive. Direct detection experiments, though globally deployed, generate data that is often locked within custom formats and non-reproducible software stacks, limiting interdisciplinary analysis and innovation. This paper presents a collaboration between the National Science Data Fabric (NSDF) and dark matter researchers to improve accessibility, usability, and scientific …

Optically accessible high-finesse millimeter-wave resonator for cavity quantum electrodynamics with atom arrays
Tony Zhang, Michelle Wu, Sam R. Cohen, Lin Xin, Debadri Das, Kevin K. S. Multani, Nolan Peard, Anne-Marie Valente-Feliciano, Paul B. Welander, Amir H. Safavi-Naeini, Emilio A. Nanni, Monika Schleier-Smith
https://arxiv…

Optically accessible high-finesse millimeter-wave resonator for cavity quantum electrodynamics with atom arrays
Cavity quantum electrodynamics (QED) is a powerful tool in quantum science, enabling preparation of non-classical states of light and scalable entanglement of many atoms coupled to a single field mode. While the most coherent atom-photon interactions have been achieved using superconducting millimeter-wave cavities coupled to Rydberg atoms, these platforms so far lack the optical access required for trapping and addressing individual atomic qubits. We present a millimeter-wave Fabry-Pérot cavi…

This https://arxiv.org/abs/2405.15049 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Breaking Barriers: Investigating Gender Dynamics in Introductory Physics Lab Classes
The persistent underrepresentation of women and other gender minorities in physical science fields has been an ongoing concern. This study investigates gender dynamics in introductory physics laboratory courses, focusing on whether students of different gender identities exhibit equal inclination and confidence in conducting lab experiments, and whether they face barriers that impact their participation. Conducted across three institutions and involving non-physics STEM students enrolled in alg…

Importance of Non-Adiabatic Effects on Kohn Anomalies in 1D metals
Enrico Marazzi (IMCN Universit\'e catholique de Louvain Belgium), Samuel Ponc\'e (ETSF Universit\'e catholique de Louvain Belgium, WEL Research Institute Belgium), Jean-Christophe Charlier (IMCN Universit\'e catholique de Louvain Belgium), Gian-Marco Rignanese (ETSF Universit\'e catholique de Louvain Belgium, WEL Research Institute Belgium, School of Materials Science and Engineering Northwestern Pol…

Importance of Non-Adiabatic Effects on Kohn Anomalies in 1D metals
Kohn anomalies are kinks or dips in phonon dispersions which are pronounced in low-dimensional materials. We investigate the effects of non-adiabatic phonon self-energy on Kohn anomalies in one-dimensional metals by developing a model that analyzes how the adiabatic phonon frequency, electron effective mass, and electron-phonon coupling strength influence phonon mode renormalization. We introduce an electron-phonon coupling strength threshold for low-temperature system instability, providing ex…

Replaced article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division
Jaros{\l}aw Byrka, Franciszek Malinka, Tomasz Ponitka

What do Large Language Models know about materials?
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti
https://arxiv.org/abs/2507.14586 https:…

What do Large Language Models know about materials?
Large Language Models (LLMs) are increasingly applied in the fields of mechanical engineering and materials science. As models that establish connections through the interface of language, LLMs can be applied for step-wise reasoning through the Processing-Structure-Property-Performance chain of material science and engineering. Current LLMs are built for adequately representing a dataset, which is the most part of the accessible internet. However, the internet mostly contains non-scientific con…

Helium recovery system at IB3A
D. Porwisiak (Fermi National Accelerator Laboratory, Wroclaw University of Science and Technology), M. J. White (Fermi National Accelerator Laboratory), B. J. Hansen (Fermi National Accelerator Laboratory)
https://arxiv.org/abs/2507.17538

Helium recovery system at IB3A
The growing demand for sustainable cryogenic operations at Fermilab has underscored the need to improve helium management, particularly at the Industrial Building 3A (IB3A) test facility. IB3A characterizes and tests superconductors, cables, and coils for projects such as the HL-LHC AUP and Mu2e, yet currently relies on 500 L Dewars whose boil-off is vented to atmosphere, wasting a critical, non-renewable resource and increasing the cost of testing. A project is therefore under way to link IB3A…

Generalized Multiple Operator Integrals for Operators with Finite Dimensions
Shih-Yu Chang
https://arxiv.org/abs/2506.19971 https://a…

Generalized Multiple Operator Integrals for Operators with Finite Dimensions
Multiple Operator Integrals (MOIs) have played a foundational role in operator theory and functional calculus, particularly for analyzing Hermitian matrices via spectral decomposition. Conventional MOIs rely on the assumption of self-adjointness, making them analytically tractable for computing Frechet derivatives, establishing trace formulas, and deriving commutator estimates. However, many problems in mathematics, science, and engineering involve matrices that are fundamentally non-Hermitian,…

Many-Body Physics from Spin-Phonon Coupling in Rydberg Atom Arrays
Shuo Zhang, Langxuan Chen, Pengfei Zhang
https://arxiv.org/abs/2507.16751 https://

Many-Body Physics from Spin-Phonon Coupling in Rydberg Atom Arrays
The rapid advancement of quantum science and technology has established Rydberg atom arrays as a premier platform for exploring quantum many-body physics with exceptional precision and controllability. Traditionally, each atom is modeled as a spin degree of freedom with its spatial motion effectively frozen. This simplification has facilitated the discovery of a rich variety of novel equilibrium and non-equilibrium phases, including $\mathbb{Z}_{\text{N}}$ symmetry-breaking orders and quantum s…

Understanding discrepancies in the coverage of OpenAlex: the case of China
Mengxue Zheng, Lili Miao, Yi Bu, Vincent Lariviere
https://arxiv.org/abs/2507.19302 https://

Understanding discrepancies in the coverage of OpenAlex: the case of China
Citation indexes play a crucial role for understanding how science is produced, disseminated, and used. However, these databases often face a critical trade-off: those offering extensive and high-quality coverage are typically proprietary, whereas publicly accessible datasets frequently exhibit fragmented coverage and inconsistent data quality. OpenAlex was developed to address this challenge, providing a freely available database with broad open coverage, with a particular emphasis on non-Engl…

Hierarchy of entanglement detection criteria for random high-dimensional states
Akhil Kumar Awasthi, Sudipta Mondal, Rivu Gupta, Aditi Sen De
https://arxiv.org/abs/2507.21787 ht…

Hierarchy of entanglement detection criteria for random high-dimensional states
Entanglement is a cornerstone in quantum information science, yet detecting it efficiently remains a challenging task. Focusing on non-positive partially transposed (NPT) states, we establish a hierarchy among entropy-based, majorization, realignment, and reduction criteria for Haar uniformly generated random states in finite dimensions, analyzing their performance based on rank and subsystem dimension. We prove lower bounds on the rank of mixed quantum states beyond which the realignment and e…

Replaced article(s) found for cond-mat.mtrl-sci. https://arxiv.org/list/cond-mat.mtrl-sci/new
[1/1]:
- Simplified approach to estimate Lorenz number using experimental Seebeck coefficient for non para...
Ankit Kumar

Dark-state photonic entanglement filters
Stefano Longhi
https://arxiv.org/abs/2507.13016 https://arxiv.org/pdf/2507.13016

Dark-state photonic entanglement filters
Preserving entanglement in the presence of decoherence remains a major challenge for quantum technologies. Recent proposals [M.A. Selim et al., Science 387, 1424 (2025)] have employed photonic filters based on anti-parity-time symmetry to recover certain entangled states, but these approaches require intricate, symmetry-constrained waveguide architectures and precise bath engineering. In this work, we show that such strict non-Hermitian symmetry constraints are not necessary for entanglement fi…