Tootfinder

physics_collab: Multilayer physicist collaborations (2015)
Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network.
This n…

'AI Is Designing Bizarre New Physics Experiments That Actually Work'
https://www.wired.com/story/ai-comes-up-with-bizarre-physics-experiments-but-they-work/

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models
Lintao Wang, Encheng Su, Jiaqi Liu, Pengze Li, Peng Xia, Jiabei Xiao, Wenlong Zhang, Xinnan Dai, Xi Chen, Yuan Meng, Mingyu Ding, Lei Bai, Wanli Ouyang, Shixiang Tang, Aoran Wang, Xinzhu Ma
https://arxiv.org/abs/2506.17667

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models
Physics problem-solving is a challenging domain for large AI models, requiring integration of conceptual understanding, mathematical reasoning, and interpretation of physical diagrams. Current evaluation methodologies show notable limitations in capturing the breadth and complexity of undergraduate-level physics, underscoring the need for more rigorous assessments. To this end, we present PhysUniBench, a large-scale multimodal benchmark designed to evaluate and improve the reasoning capabilitie…

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

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

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Communication as a driver of change
A. Fronzetti Colladon., F. Grippa

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Fragment size density estimator for shrinkage-induced fracture based on a physics-informed neural...
Shin-ichi Ito

Replaced article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Optimizing SPION Labeling for Single-Cell Magnetic Microscopy
Pointner, Thalheim, Belasi, Heinen, Bonato, Luehmann, Meijer, Tietze, Alexiou, Schneider-Stock, Nagy

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Causal Mechanisms of Subpolar Gyre Variability in CMIP6 Models
Swinda K. J. Falkena, Henk A. Dijkstra, Anna S. von der Heydt

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- A Subgrid Model for Electron-Scale Turbulent Transport in Global Ion-Scale Gyrokinetic Simulation...
Stefan Tirkas, Yang Chen, Scott Parker

Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- Einstein's elevator and the principle of equivalence
Lisa Galvagni, Guido Magnano, Matteo Luca Ruggiero

Replaced article(s) found for physics.chem-ph. https://arxiv.org/list/physics.chem-ph/new
[1/1]:
- Light-Induced Persistent Electronic Chirality in Achiral Molecules Probed with Time-Resolved Elec...
Torsha Moitra, Lukas Konecny, Marius Kadek, Ofer Neufeld, Angel Rubio, Mi…

Replaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- Low-order reaction-diffusion system approximates heat transfer and flow structure in annular conv...
Yuejia Zhang, Nicholas J. Moore, Jinzi Mac Huang

Integrating Physics-Based and Data-Driven Approaches for Probabilistic Building Energy Modeling
Leandro Von Krannichfeldt, Kristina Orehounig, Olga Fink
https://arxiv.org/abs/2507.17526

Integrating Physics-Based and Data-Driven Approaches for Probabilistic Building Energy Modeling
Building energy modeling is a key tool for optimizing the performance of building energy systems. Historically, a wide spectrum of methods has been explored -- ranging from conventional physics-based models to purely data-driven techniques. Recently, hybrid approaches that combine the strengths of both paradigms have gained attention. These include strategies such as learning surrogates for physics-based models, modeling residuals between simulated and observed data, fine-tuning surrogates with…

Replaced article(s) found for physics.space-ph. https://arxiv.org/list/physics.space-ph/new
[1/1]:
- High-resolution Observation of Mini-Filament Eruptions Near Coronal Hole Boundary and Their Respo...
Nengyi Huang, Haimin Wang

While AI hasn't yet led to new physics discoveries, the tech is proving powerful in the field, aiding in experiment design and spotting patterns in complex data (Anil Ananthaswamy/Quanta Magazine)
https://www.quantamagazine.org/ai-comes-up

AI Comes Up with Bizarre Physics Experiments. But They Work. | Quanta Magazine
Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.”

Replaced article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- Stimulated Forward Brillouin Scattering in Subwavelength Silicon Membranes
Ruano, Zhang, Gonz\'alez-Andrade, Melati, Cassan, Cheben, Vivien, Lanzillotti-Kimura, Alonso-Ramos…

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Effects of the thin-film thickness on superconducting NbTi microwave resonators for on-chip cryog...
Chatel, Russo, Mazzone, Boinay, Farsi, Brugger, Boero, Furci

Replaced article(s) found for physics.hist-ph. https://arxiv.org/list/physics.hist-ph/new
[1/1]:
- Slow neutrons in Palermo: a forgotten conference by Enrico Fermi
Emanuele Goldoni, Ledo Stefanini

Replaced article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- Commissioning of a radiofrequency quadrupole cooler-buncher for collinear laser spectroscopy
Shen Liu, et al.

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training
Anirudh Satheesh, Anant Khandelwal, Mucong Ding, Radu Balan
https://arxiv.org/abs/2507.17151

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training
Neural operators offer a powerful paradigm for solving partial differential equations (PDEs) that cannot be solved analytically by learning mappings between function spaces. However, there are two main bottlenecks in training neural operators: they require a significant amount of training data to learn these mappings, and this data needs to be labeled, which can only be accessed via expensive simulations with numerical solvers. To alleviate both of these issues simultaneously, we propose PICore…

arxiv_collab: Scientific collaborations in physics (1995-2005)
Collaboration graphs for scientists, extracted from the Los Alamos e-Print arXiv (physics), for 1995-1999 for three categories, and additionally for 1995-2003 and 1995-2005 for one category. For copyright reasons, the MEDLINE (biomedical research) and NCSTRL (computer science) collaboration graphs from this paper are not publicly available.
This network has 8361 nodes and 15751 edges.
Tags: Social, Collaboration…

Physics-Informed Neural Networks for Industrial Gas Turbines: Recent Trends, Advancements and Challenges
Afila Ajithkumar Sophiya, Sepehr Maleki, Giuseppe Bruni, Senthil K. Krishnababu
https://arxiv.org/abs/2506.19503

Physics-Informed Neural Networks for Industrial Gas Turbines: Recent Trends, Advancements and Challenges
Physics-Informed Neural Networks (PINNs) have emerged as a promising computational framework for solving differential equations by integrating deep learning with physical constraints. However, their application in gas turbines is still in its early stages, requiring further refinement and standardization for wider adoption. This survey provides a comprehensive review of PINNs in Industrial Gas Turbines (IGTs) research, highlighting their contributions to the analysis of aerodynamic and aeromech…

Replaced article(s) found for physics.pop-ph. https://arxiv.org/list/physics.pop-ph/new
[1/1]:
- Discovery of entanglement generation by elastic collision to realise the original Einstein-Podols...
Roman Schnabel

Replaced article(s) found for physics.med-ph. https://arxiv.org/list/physics.med-ph/new
[1/1]:
- Cryogenic cesium iodide as a potential PET material
Soleti, Castillo, Collar, del Barrio-Torregrosa, Echeverria, Seemann, Zerzion, Cadenas

Evaluation of PID Performance at CEPC and Optimization with Combined dN/dx and Time-of-Flight Data
Dian Yu (Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China), Houqian Ding (Department of Physics, Nanjing University, Nanjing, China), Yunyun Fan (Institute of High Energy Physics, CAS, Beijing, China), Yongfeng Zhu (Institute of High Energy Physics, CAS, Beijing, China), Ming Qi (Department of Physics, Nanjing University, Nanjing, China)

Evaluation of PID Performance at CEPC and Optimization with Combined dN/dx and Time-of-Flight Data
This work presents a comprehensive study of charged-hadron particle identification (PID) at the Circular Electron-Positron Collider (CEPC), based on full simulation of hadronic $Z$-pole events. A unified PID strategy is developed by combining energy loss measurements (dN/dx) from the time projection chamber (TPC) and time-of-flight (ToF) information from both the inner (ITK) and outer (OTK) silicon trackers. The PID discriminant is constructed using residuals between measured and expected obser…

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation
Arup Kumar Sahoo, Itzik Klein
https://arxiv.org/abs/2507.18206 https://a…

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation
A fundamental requirement for full autonomy in mobile robots is accurate navigation even in situations where satellite navigation or cameras are unavailable. In such practical situations, relying only on inertial sensors will result in navigation solution drift due to the sensors' inherent noise and error terms. One of the emerging solutions to mitigate drift is to maneuver the robot in a snake-like slithering motion to increase the inertial signal-to-noise ratio, allowing the regression of the…

AE-PINNs: Attention-enhanced physics-informed neural networks for solving elliptic interface problems
Jiachun Zheng, Yunqing Huang, Nianyu Yi
https://arxiv.org/abs/2506.18332

AE-PINNs: Attention-enhanced physics-informed neural networks for solving elliptic interface problems
Inspired by the attention mechanism, we develop an attention-enhanced physics-informed neural networks (AE-PINNs) for solving elliptic interface equations. In AE-PINNs, we decompose the solution into two complementary components: a continuous component and a component with discontinuities across the interface. The continuous component is approximated by a fully connected neural network in the whole domain, while the discontinuous component is approximated by an interface-attention neural networ…

Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Deep Reparameterization for Full Waveform Inversion: Architecture Benchmarking, Robust Inversion,...
Feng Liu, Yaxing Li, Rui Su, Jianping Huang, Lei Bai

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Practical primary thermometry via alkali-metal-vapour Doppler broadening
Nicola Agnew, Veronika Vohn\'ikov\'a, Erling Riis, Graham Machin, Aidan S. Arnold
https://arxiv.org/abs/2505.24854 https://mastoxiv.page/@arXiv_physicsatomph_bot/114612607105703674
toXiv_bot_toot

Probing universal phase diagram of dimensional crossover with an atomic quantum simulator
Jinyuan Tian, Zhongcheng Yu, Jing Liu, Chi-Kin Lai, Lorenzo Pizzino, Chengyang Wu, Hongmian Shui, Thierry Giamarchi, Hepeng Yao, Xiaoji Zhou
https://arxiv.org/abs/2506.18464

Probing universal phase diagram of dimensional crossover with an atomic quantum simulator
Dimensionality is a fundamental concept in physics, which plays a hidden but crucial role in various domains, including condensed matter physics, relativity and string theory, statistical physics, etc. In quantum physics, reducing dimensionality usually enhances fluctuations and leads to novel properties. Owing to these effects, quantum simulators in which dimensionality can be controlled have emerged as a new area of interest. However, such a platform has only been studied in specific regimes …

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- LArTPC hit-based topology classification with quantum machine learning and symmetry
Duffy, Jastrzebski, Vergani, Whitehead, Cross, Blake, Malik, Marshall

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Entropy and type-token ratio in gigaword corpora
Pablo Rosillo-Rodes, Maxi San Miguel, David Sanchez

Sb2S3 and GaAs Absorber Layer-based Quantum Dot Solar Cells with Cadmium Telluride-based HTL: A Comparative Study
Sayak Banerjee (Department of Physics, Indian Institute of Technology, Jodhpur, Rajasthan, India-342037, Department of Metallurgical and Materials Engineering, Indian Institute of Technology, Jodhpur, Rajasthan, India), Anupam Chetia (Department of Physics, Indian Institute of Technology, Jodhpur, Rajasthan, India-342037), Satyajit Sahu (Department of Physics, Indian Instit…

Sb2S3 and GaAs Absorber Layer-based Quantum Dot Solar Cells with Cadmium Telluride-based HTL: A Comparative Study
Quantum dot solar cells (QDSC) are widely acknowledged to be one of the best solar energy harvesting devices in the present world. Absorber layer is a core component of a QDSC with a strong influence on its operational efficiency. Hence, we choose to undertake a comparative study of two QDSC having different QD absorber layers: Sb2S3 and GaAs with the motive to identify the better absorber layer material. The numerical analysis has been carried out using SCAPS-1D (Solar Cell Capacitance Simulat…

Replaced article(s) found for physics.acc-ph. https://arxiv.org/list/physics.acc-ph/new
[1/1]:
- Decommissioning and Post-Irradiation Examination of the LHC Beam Dumps
N. Solieri, et al.

Exceptionality, Supersymmetry and Non-associativity in Physics
Murat Gunaydin
https://arxiv.org/abs/2507.17938 https://arxiv.org/pdf/2507.17938

Exceptionality, Supersymmetry and Non-associativity in Physics
This is an expanded and updated version of the talk I gave at the meeting organized at CERN on April 27-28, 2015 dedicated to honoring the memory of Bruno Zumino and his legacy. In this talk I review the emergence of exceptional structures and non-associative algebras in quantum mechanics, supergravity and M/superstring theories.

Replaced article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Molecular Mechanisms Underlying the Effects of Urea and the Structural Dynamics of Bovine Serum A...
Y. Ricardo Espinosa, C. Manuel Carlevaro, C. Gast\'on Ferrara

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean m...
Pavel Perezhogin, Alistair Adcroft, Laure Zanna

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- Multiple solutions to the static forward free-boundary Grad-Shafranov problem on MAST-U
K. Pentland, N. C. Amorisco, P. E. Farrell, C. J. Ham

ASP-Assisted Symbolic Regression: Uncovering Hidden Physics in Fluid Mechanics
Theofanis Aravanis, Grigorios Chrimatopoulos, Mohammad Ferdows, Michalis Xenos, Efstratios Em Tzirtzilakis
https://arxiv.org/abs/2507.17777

ASP-Assisted Symbolic Regression: Uncovering Hidden Physics in Fluid Mechanics
Unlike conventional Machine-Learning (ML) approaches, often criticized as "black boxes", Symbolic Regression (SR) stands out as a powerful tool for revealing interpretable mathematical relationships in complex physical systems, requiring no a priori assumptions about models' structures. Motivated by the recognition that, in fluid mechanics, an understanding of the underlying flow physics is as crucial as accurate prediction, this study applies SR to model a fundamental three-dimensional (3D) in…

Replaced article(s) found for physics.gen-ph. https://arxiv.org/list/physics.gen-ph/new
[1/1]:
- CMB parity asymmetry from unitary quantum gravitational physics
Enrique Gazta\~naga, K. Sravan Kumar

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- PYSED: A tool for extracting kinetic-energy-weighted phonon dispersion and lifetime from molecula...
Ting Liang, Wenwu Jiang, Ke Xu, Hekai Bu, Zheyong Fan, Wengen Ouyang, Jia…

Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- An Accessible Planar Charged Particle Trap for Experiential Learning in Quantum Technologies
Thomas, Wolfram, Warren, Fouch, Blinov, Parsons

Replaced article(s) found for physics.chem-ph. https://arxiv.org/list/physics.chem-ph/new
[1/1]:
- Reactive molecular dynamics approach to PFAS plasma oxidation in water
Axel Richard, Pascal Brault, Nicolas Froloff, Olivier Aubry, Dunpin Hong, Herv\'e Rabat

Replaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- Rescaled Equations for Well-Conditioned Direct Numerical Simulations of Rapidly Rotating Convection
Keith Julien, Adrian van Kan, Benjamin Miquel, Edgar Knobloch, …

Replaced article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- Light propagation in magnetoelectric materials: The role of optical coefficients in refractive in...
Vitorio A. De Lorenci, Lucas T. de Paula

Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
Marc-Antoine Coulombe, Maxime Berger, Antoine Lesage-Landry
https://arxiv.org/abs/2506.19178

Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
The growing reliance on power electronics introduces new challenges requiring detailed time-domain analyses with fast and accurate circuit simulation tools. Currently, commercial time-domain simulation software are mainly relying on physics-based methods to simulate power electronics. Recent work showed that data-driven and physics-informed learning methods can increase simulation speed with limited compromise on accuracy, but many challenges remain before deployment in commercial tools can be …

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Effective interface forces to model boundary effects in a finite-size metamaterial through the re...
Plastiras Demetriou, Jendrik Voss, Angela Madeo

Replaced article(s) found for physics.hist-ph. https://arxiv.org/list/physics.hist-ph/new
[1/1]:
- On the map-territory fallacy fallacy
Maxwell J D Ramstead, Dalton A R Sakthivadivel, Karl J Friston

Replaced article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- Study of the Radiation Hardness of the ATLAS Tile Calorimeter Optical Instrumentation with Run 2 ...
J. Abdallah, et al.

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Models of Opinion Dynamics with Random Parametrisation
Gabor Toth

Replaced article(s) found for physics.med-ph. https://arxiv.org/list/physics.med-ph/new
[1/1]:
- Anatomical basis of sex differences in the electrocardiogram identified by three-dimensional tors...
Smith, Rodriguez, Sang, Beetz, Choudhury, Grau, Banerjee

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Closure of the sea surface height budget with a Stokes offset
J\"orn Callies, Charly de Marez, Jinbo Wang, Bruce Haines

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- Semi-Lagrangian methods for a plasma hybrid model with multi-species kinetic ions and massless el...
Yingzhe Li, Philip J. Morrison, Eric Sonnendr\"ucker

Replaced article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Static Three-Dimensional Structures Determine Fast Dynamics Between Distal Loci Pairs in Interpha...
Guang Shi, Sucheol Shin, D. Thirumalai

A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues
Zhongya Lin, Jinshuai Bai, Shuang Li, Xindong Chen, Bo Li, Xi-Qiao Feng
https://arxiv.org/abs/2506.18565

A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues
Modeling viscoelastic behavior is crucial in engineering and biomechanics, where materials undergo time-dependent deformations, including stress relaxation, creep buckling and biological tissue development. Traditional numerical methods, like the finite element method, often require explicit meshing, artificial perturbations or embedding customised programs to capture these phenomena, adding computational complexity. In this study, we develop an energy-based physics-informed neural network (PIN…

Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- When Cubic Law and Darcy Fail: Bayesian Correction of Model Misspecification in Fracture Conducti...
Sarah Perez, Florian Doster, Julien Maes, Hannah Menke, Ahmed ElS…

Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- QISCIT: A validated concept inventory assessment for quantum information science
Kelley Durkin, Manshuo Lin, Michael H. Kolodrubetz, Ryan P. McMahan

Replaced article(s) found for physics.chem-ph. https://arxiv.org/list/physics.chem-ph/new
[1/1]:
- Quantum mechanical dataset of 836k neutral closed shell molecules with upto 5 heavy atoms from CN...
Danish Khan, Anouar Benali, Scott Y. H. Kim, Guido Falk von Ru…

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Machine-learning based high-bandwidth magnetic sensing
Galya Haim, Stefano Martina, John Howell, Nir Bar-Gill, Filippo Caruso

Numerical simulation of transient heat conduction with moving heat source using Physics Informed Neural Networks
Anirudh Kalyan, Sundararajan Natarajan
https://arxiv.org/abs/2506.17726

Numerical simulation of transient heat conduction with moving heat source using Physics Informed Neural Networks
In this paper, the physics informed neural networks (PINNs) is employed for the numerical simulation of heat transfer involving a moving source. To reduce the computational effort, a new training method is proposed that uses a continuous time-stepping through transfer learning. Within this, the time interval is divided into smaller intervals and a single network is initialized. On this single network each time interval is trained with the initial condition for (n+1)th as the solution obtained a…

Replaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- Drop impact on a heated pre-wetted wall: deposition-on-crater splash regime
Lukas Weimar, Bastian Stumpf, Jeanette Hussong, Ilia V. Roisman

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Trapped-ion laser cooling in structured light fields
Zhenzhong Xing, Karan K. Mehta
https://arxiv.org/abs/2411.08844 https://mastoxiv.page/@arXiv_physicsatomph_bot/113480313003086521
- Lorentz and CPT violation and the (anti-)hydrogen molecular ion
Graham M. Shore
https://arxiv.org/abs/2412.09730 https://mastoxiv.page/@arXiv_physicsatomph_bot/113661506443273739
- Bremsstrahlung induced atomic processes
Singh, Kumar, Chatterjee, Swami, Kaur, Jha, Oswal, Singh, Nandi
https://arxiv.org/abs/2501.02967 https://mastoxiv.page/@arXiv_physicsatomph_bot/113786077273931578
- Clarifying Self Seed in 391-nm N$_2^{ }$ Air Lasing by Vectorially Structured Light Fields
Jingsong Gao, Yang Wang, Jiahao Dong, Yi Liu, Chengyin Wu, Hongbing Jiang, Yunquan Liu, Meng Han
https://arxiv.org/abs/2502.01414 https://mastoxiv.page/@arXiv_physicsatomph_bot/113944386182439139
- Linear dichroism signals due to the alignment in the ground state of hydrogen-like atoms and thei...
M. V. Petrenko, A. S. Pazgalev, A. K. Vershovskii
https://arxiv.org/abs/2504.20716 https://mastoxiv.page/@arXiv_physicsatomph_bot/114425750205554960
- Sub-Doppler cooling of bosonic strontium in a two-color MOT
Negyedi, Deutschle, Jessen, Fort\'agh, S\'ark\'any
https://arxiv.org/abs/2507.02693 https://mastoxiv.page/@arXiv_physicsatomph_bot/114794127138414131
- Molecular Quantum Control Algorithm Design by Reinforcement Learning
Anastasia Pipi, Xuecheng Tao, Arianna Wu, Prineha Narang, David R. Leibrandt
https://arxiv.org/abs/2410.11839 https://mastoxiv.page/@arXiv_quantph_bot/113316450427865660
- Single-atom resolved collective spectroscopy of a one-dimensional atomic array
Britton Hofer, Damien Bloch, Giulio Biagioni, Nathan Bonvalet, Antoine Browaeys, Igor Ferrier-Barbut
https://arxiv.org/abs/2412.02541 https://mastoxiv.page/@arXiv_quantph_bot/113593627161222722
- Mutual friction and vortex Hall angle in a strongly interacting Fermi superfluid
Nicola Grani, et al.
https://arxiv.org/abs/2503.21628 https://mastoxiv.page/@arXiv_condmatquantgas_bot/114238880586578320
- Lorentz and CPT violation and the (anti-)hydrogen molecular ion II -- hyperfine-Zeeman spectrum
Graham M Shore
https://arxiv.org/abs/2504.19015 https://mastoxiv.page/@arXiv_hepph_bot/114420102398265292
- Cooling of an optically levitated nanoparticle via measurement-free coherent feedback
Bruno Melo, Daniel Veldhuizen, Gregoire F. M. Tomassi, Nadine Meyer, Romain Quidant
https://arxiv.org/abs/2506.21341 https://mastoxiv.page/@arXiv_quantph_bot/114754750333187473
toXiv_bot_toot

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Tunable correlation retention: A statistical method for generating synthetic data
Nicklas J\"averg{\aa}rd, Rainey Lyons, Adrian Muntean, Jonas Forsman
…

Replaced article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- One-time measurement to characterize complex amplitude single component in symmetry superposed op...
Chen Wang, Yuan Ren

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Two-step focusing anamorphic catadioptric telescope and componentwise aberration compensations
Dmitry Zhuridov

Replaced article(s) found for physics.acc-ph. https://arxiv.org/list/physics.acc-ph/new
[1/1]:
- Commissioning of a radiofrequency quadrupole cooler-buncher for collinear laser spectroscopy
Shen Liu, et al.

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Runaway processes in the upper and lower atmosphere: a change of paradigm
A. Chilingarian

Replaced article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- Resolution Limiting Factors in Low-Energy Cascade Zenith Angle Reconstruction with the IceCube Up...
Kaustav Dutta, Sebastian B\"oser, Jan Weldert, Martin Ron…

Crosslisted article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- On the hypothesis of a bi-isotropic plasma permeating the interstellar space
Filipe S. Ribeiro, Pedro D. S. Silva, Rodolfo Casana, Manoel M. Ferreira Jr

Activities of Women in Physics Group in Spain 2022 to 2023
Pascuala Garcia-Martinez, Carmen Ocal, Ana Xesus Lopez, Mariam Tortola, Milagros F. Morcillo-Arencibia, Alberto Martin-Molina, Sonia Estrade
https://arxiv.org/abs/2506.18816

Activities of Women in Physics Group in Spain 2022 to 2023
In this paper, we present the main actions of the Women in Physics Group of the Spanish Royal Physics Society over the period of 2022 to 2023, in which we celebrated the 20th anniversary of the group. We also outline relevant equality initiatives implemented during this period by the Spanish Government as well as analyse their impact on the status of women in Physics in our country. In 2023, our scientific society approved the Gender Equality Plan, thus becoming a pioneer scientific society in …

Replaced article(s) found for physics.chem-ph. https://arxiv.org/list/physics.chem-ph/new
[1/1]:
- Foundation Models for Atomistic Simulation of Chemistry and Materials
Y. Yuan, et al.

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Petrov-Galerkin model reduction for collisional-radiative argon plasma
Ivan Zanardi, Alessandro Meini, Alberto Padovan, Daniel J. Bodony, Marco Panesi

Pictorial and Documentary Guide for Research, Teaching, and Education through Astronomy, Physics, and Mathematics Pursued under the Umbrella of the United Nations (1974-2024)
Hans J. Haubold, Arak M. Mathai
https://arxiv.org/abs/2507.17283

Pictorial and Documentary Guide for Research, Teaching, and Education through Astronomy, Physics, and Mathematics Pursued under the Umbrella of the United Nations (1974-2024)
This paper was prepared for Open-Access-only publication as a guide reporting on Education (all aspects of space science and technology), Teaching (remote sensing and GIS, satellite meteorology and global climate, satellite communication, space and atmospheric sciences, global navigation satellite systems), and Research (solar neutrino problem, formation of structure in the Universe) in astronomy (solar physics, cosmology), physics (nuclear physics, neutrino physics), and mathematics (fractiona…

Physics-Informed Neural Networks for Nonlocal Flow Modeling of Connected Automated Vehicles
Chenguang Zhao, Huan Yu
https://arxiv.org/abs/2506.18357 https:…

Physics-Informed Neural Networks for Nonlocal Flow Modeling of Connected Automated Vehicles
Connected automated vehicles (CAVs) cruising control strategies have been extensively studied at the microscopic level. CAV controllers sense and react to traffic both upstream and downstream, yet most macroscopic models still assume locality, where the desired speed only depends on local density. The nonlocal macroscopic traffic flow models that explicitly capture the ``look ahead'' and ``look behind'' nonlocal CAV dynamics remain underexplored. In this paper, we propose a Physics-informed Neu…

Replaced article(s) found for physics.med-ph. https://arxiv.org/list/physics.med-ph/new
[1/1]:
- Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations
Hussein Harb, Didier Benoit, Axel Rannou, Chi-Hieu Pham, Valentin Tissot, Bahaa Na…

Replaced article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- Dynamic control of luminescence chirality through achiral metasurfaces
Wu, Wang, Xu, He, He, Wang, Wang, Wu, Chu, Wu, Liu, Chen

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Second-order hyperfine structure and its impact on new physics searches using isotope shift spect...
Julian C. Berengut, Natalia S. Oreshkina

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- The effect of the electron's spin magnetic moment on quantum radiation in strong electromagnetic ...
Ingle, Arran, Oxley, Blackburn, Bulanov, Murphy, Ridger…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Novel computational approaches for ratio distributions with an application to Hake's ratio in eff...
Jozef Han\v{c}, Martina Han\v{c}ov\'a, Dominik Borovsk…

Replaced article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- Cryogenic cesium iodide as a potential PET material
Soleti, Castillo, Collar, del Barrio-Torregrosa, Echeverria, Seemann, Zerzion, Cadenas

Replaced article(s) found for physics.acc-ph. https://arxiv.org/list/physics.acc-ph/new
[1/1]:
- Experimental evidence of muon production from a laser-wakefield accelerator
L. Calvin, et al.

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- SF6 streamer breakdown induced by floating linear metal particles: Following streamers and side s...
Zihao Feng, Liyang Zhang, Xinxin Wang, Xiaobing Zou, Haiyun…

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
Adrian Padilla-Segarra, Pascal Noble, Olivier Roustant, \'Eric Savin
https://arxiv.org/abs/2507.17582

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
Gaussian process regression techniques have been used in fluid mechanics for the reconstruction of flow fields from a reduction-of-dimension perspective. A main ingredient in this setting is the construction of adapted covariance functions, or kernels, to obtain such estimates. In this paper, we derive physics-informed kernels for simulating two-dimensional velocity fields of an incompressible (divergence-free) flow around aerodynamic profiles. These kernels allow to define Gaussian process pri…

Multimodal large language models and physics visual tasks: comparative analysis of performance and costs
Giulia Polverini, Bor Gregorcic
https://arxiv.org/abs/2506.19662

Multimodal large language models and physics visual tasks: comparative analysis of performance and costs
Multimodal large language models (MLLMs) capable of processing both text and visual inputs are increasingly being explored for uses in physics education, such as tutoring, formative assessment, and grading. This study evaluates a range of publicly available MLLMs on a set of standardized, image-based physics research-based conceptual assessments (concept inventories). We benchmark 15 models from three major providers (Anthropic, Google, and OpenAI) across 102 physics items, focusing on two main…

Gender Imbalance in Physics Education and Employment in Germany: Trends and Challenges
Ruzin Aganoglu, Andrea Bossmann, Ulrike B\"ohm, Anja Metzelthin, Agnes Sandner, Iris Traulsen, Angelica Zacarias
https://arxiv.org/abs/2506.19021

Gender Imbalance in Physics Education and Employment in Germany: Trends and Challenges
Gender imbalance among German physicists persists, with fewer women in advanced degrees and research leadership roles. Although female enrollment in Physics programs increased slightly until 2022, potentially influenced by COVID-19 the long-term trend remains uncertain. Despite the rise in female Ph.D. students and foreign representation, female professors in Physics and Astronomy stagnated below 14 %, indicating significant underrepresentation. Anticipated revisions to the WissZeitVG law may i…

Ultra-low damping of the translational motion of a composite graphite particle in a magneto-gravitational trap
Connor E. Murphy (Department of Physics, Montana State University, Bozeman, MT), Cody Jessup (Department of Physics, Montana State University, Bozeman, MT), Tahereh Naderishahab (Department of Physics, Montana State University, Bozeman, MT), Leonardo R. Werneck (Department of Physics, University of Idaho, Moscow, ID), Zachariah B. Etienne (Department of Physics, University of …

Ultra-low damping of the translational motion of a composite graphite particle in a magneto-gravitational trap
We demonstrate an ultra-low dissipation, one-dimensional mechanical oscillator formed by levitating a millimeter-scale composite graphite particle in a room-temperature magneto-gravitational trap. The trap's magnetic field geometry, based on a linear quadrupole, eliminates first-order field gradients in the axial direction, yielding a low oscillation frequency with negligibly low eddy-current losses. Direct ring-down measurements under vacuum compare the damping of the vertical and axial motion…

Replaced article(s) found for physics.acc-ph. https://arxiv.org/list/physics.acc-ph/new
[1/1]:
- Strategy for Bayesian Optimized Beam Steering at TRIUMF-ISAC's MEBT and HEBT Beamlines
O. Hassan, O. Shelbaya, W. Fedorko, T. Planche, O. Kester

Replaced article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Universal Response Inequalities Beyond Steady States via Trajectory Information Geometry
Jiming Zheng, Zhiyue Lu

Hierarchical Dimensionless Learning (Hi-{\pi}): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations
Mingkun Xia, Haitao Lin, Weiwei Zhang
https://arxiv.org/abs/2507.18332

Hierarchical Dimensionless Learning (Hi-π): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations
Dimensional analysis provides a universal framework for reducing physical complexity and reveal inherent laws. However, its application to high-dimensional systems still generates redundant dimensionless parameters, making it challenging to establish physically meaningful descriptions. Here, we introduce Hierarchical Dimensionless Learning (Hi-π), a physics-data hybrid-driven method that combines dimensional analysis and symbolic regression to automatically discover key dimensionless parameter…

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean m...
Pavel Perezhogin, Alistair Adcroft, Laure Zanna

Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
Chuyu Zhou, ianyu Li, Chenxi Lan, Rongyu Du, Guoguo Xin, Pengyu Nan, Hangzhou Yang, Guoqing Wang, Xun Liu, Wei Li
https://arxiv.org/abs/2507.17535

Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
Physics-informed neural networks (PINN) have achieved notable success in solving partial differential equations (PDE), yet solving the Navier-Stokes equations (NSE) with complex boundary conditions remains a challenging task. In this paper, we introduce a novel Hybrid Boundary PINN (HB-PINN) method that combines a pretrained network for efficient initialization with a boundary-constrained mechanism. The HB-PINN method features a primary network focused on inner domain points and a distance metr…

Replaced article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Automatic Forward Model Parameterization with Bayesian Inference of Conformational Populations
Robert M. Raddi, Tim Marshall, Vincent A. Voelz

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Spectral-Space RG Theory Based on Universal Scaling Relations
Cook Hyun Kim, B. Kahng

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Causal Mechanisms of Subpolar Gyre Variability in CMIP6 Models
Swinda K. J. Falkena, Henk A. Dijkstra, Anna S. von der Heydt

Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- Inference accuracy about an aircraft crash
Fran\c{c}ois Graner (MSC), Stefano Matthias Panebianco (DPHN)

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- A unified neural background-error covariance model for midlatitude and tropical atmospheric data ...
Bo\v{s}tjan Melinc, Uro\v{s} Perkan, \v{Z}iga Zaplotnik

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- Scalable Chrysopoeia via $(n, 2n)$ Reactions Driven by Deuterium-Tritium Fusion Neutrons
Adam Rutkowski, Jake Harter, Jason Parisi

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Forecast error diagnostics in neural weather models
Uros Perkan, Ziga Zaplotnik, Gregor Skok

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- Data-driven reduced modeling of streamer discharges in air
Jannis Teunissen, Alejandro Malag\'on-Romero

QED cascade initiation via reflection of a multipetawatt laser pulse from a self-organized parabolic plasma mirror
M. A. Serebryakov (Institute of Applied Physics RAS, Nizhny Novgorod, Russia), E. N. Nerush (Institute of Applied Physics RAS, Nizhny Novgorod, Russia, Institute of Applied Physics RAS, Nizhny Novgorod, Russia), L. Ji (Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, China), X. Geng (Shanghai Institute of Optics and Fine Mechanics, Ch…

QED cascade initiation via reflection of a multipetawatt laser pulse from a self-organized parabolic plasma mirror
The self-sustained or avalanche-type cascade is an intriguing prediction of strong-field quantum electrodynamics (QED) that has yet to be observed in laboratories. It is accompanied by the conversion of electromagnetic energy into gamma photons and electron-positron ($e^-e^+$) pairs, whose number increases exponentially over time. We investigate a simple configuration to initiate a QED cascades: it is based on the superposition of an incident multipetawatt laser pulse and its reflection from a …