1. FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs
   2025/12/23 by Mohammadzadeh, Saeed, Hamdi, Erfan, Shor, Joel +1 · 1 citation
   #68T20 #68T35 #68T37 #68T50 #74S05 #Artificial Intelligence (cs.AI) #D.2 #FOS: Computer and information sciences #I.2 #J.2 #Machine Learning (cs.LG) #Software Engineering (cs.SE)
2. From Black Box to Bijection: Interpreting Machine Learning to Build a Zeta Map Algorithm
   2025/11/16 by Xiaoyu Huang, Huang, Xiaoyu, Blake Jackson +3 · 1 citation
   Computer Science · Mathematics · #05A19 (Primary) 05-08 #68T07 (Secondary) #Advanced Combinatorial Mathematics #Combinatorics (math.CO) #FOS: Computer and information sciences #FOS: Mathematics #G.2.1 #I.2.6 #I.2.7 #J.2 #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Topological and Geometric Data Analysis
3. Constrained Random Phase Approximation: the spectral method
   2025/08/21 by Kaltak, Merzuk, Hampel, Alexander, Schlipf, Martin +3 · 2 citations
   #81V #Atomic and Molecular Clusters (physics.atm-clus) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #G.1.3 #J.2 #Other Condensed Matter (cond-mat.other) #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)
4. LAMMPS-KOKKOS: Performance Portable Molecular Dynamics Across Exascale Architectures
   2025/08/19 by Johansson, Anders, Weinberg, Evan, Trott, Christian R. +2 · 2 citations
   #C.1.4 #C.2.4 #C.4 #Computational Physics (physics.comp-ph) #D.1.3 #D.3.4 #Distributed #E.1 #FOS: Computer and information sciences #FOS: Physical sciences #I.6 #I.6.8 #J.2 #Parallel #Performance (cs.PF) #and Cluster Computing (cs.DC)
5. Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification
   2025/07/29 by Veerababu, D., Raikar, Ashwin A., Ghosh, Prasanta K. · 2 citations
   #34A06 #Computational Engineering #FOS: Computer and information sciences #Finance #G.1.6 #I.6.4 #J.2 #Machine Learning (cs.LG) #and Science (cs.CE)
6. Magnetic fields and cosmic rays in M31. II. Strength and distribution of the magnetic field components
   2025/07/10 by Beck, Rainer, Berkhuijsen, Elly M. · 2 citations
   #Astrophysics of Galaxies (astro-ph.GA) #FOS: Physical sciences #J.2
7. Unraveling the nature of excitons in the 2D magnetic semiconductor CrSBr
   2025/06/19 by Smiertka, Maciej, Rygala, Michal, Posmyk, Katarzyna +10 · 5 citations
   #FOS: Physical sciences #J.2 #Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
8. Learning thermodynamic master equations for open quantum systems
   2025/06/02 by Peter Sentz, Stanley Nicholson, Sentz, Peter +9 · 3 voices · 2 citations
   Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #I.2.6 #J.2 #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
9. Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
   2025/05/28 by Hamidreza Montazeri Hedesh, Moh Kamalul Wafi, Hedesh, Hamidreza Montazeri +3 · 3 citations
   Computer Science · Physics and Astronomy · #68T07 #93C10 #93D09 #93D20 #Artificial Intelligence (cs.AI) #B.1.3 #FOS: Computer and information sciences #FOS: Electrical engineering #G.1 #I.2 #I.2.1 #I.2.3 #I.2.8 #J.2 #Model Reduction and Neural Networks #Neural Networks Stability and Synchronization #Neural Networks and Reservoir Computing #Systems and Control (eess.SY) #electronic engineering #information engineering
10. On the Evaluation of Engineering Artificial General Intelligence
    2025/05/15 by Sandeep Neema, Neema, Sandeep, Susmit Jha +16 · 3 voices
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2 #J.2 #J.6 #Machine Learning and Algorithms #Multi-Agent Systems and Negotiation #Software Engineering Techniques and Practices #cs.AI
11. Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
    2025/05/05 by Gianluca Fabiani, Fabiani, Gianluca, Hannes Vandecasteele +7 · 5 citations
    Physics and Astronomy · Computer Science · Materials Science · #35B40 #37M20 #37N30 #41A35 #47J25 #62M45 #65F15 #65J15 #65J22 #65P30 #68T05 #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #G.1.10 #G.1.3 #G.1.5 #G.1.8 #G.4 #I.2.6 #I.6.5 #J.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
12. Effective interface forces to model boundary effects in a finite-size metamaterial through the reduced relaxed micromorphic model
    2025/04/30 by Demetriou, Plastiras, Voss, Jendrik, Madeo, Angela · 2 citations
    #74A10 #74B05 #74J05 #74M25 #Applied Physics (physics.app-ph) #FOS: Physical sciences #J.2
13. Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective
    2025/04/06 by Mazurek, Szymon, Caputa, Jakub, Argasiński, Jan K. +1 · 3 citations
    #37N25 #60J22 #68Q32 #68T05 #92B20 #92B25 #Artificial Intelligence (cs.AI) #C.1.3 #F.4.1 #FOS: Computer and information sciences #I.2.10 #I.2.3 #I.2.6 #I.2.9 #J.2 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
14. Petal-Graphyne: A Novel 2D Carbon Allotrope for High-Performance Li and Na Ion Storage
    2025/03/27 by Lima, Kleuton A. L., Laranjeira, José A. S., Martins, Nicolas F. +4 · 5 citations
    #00-XX #FOS: Physical sciences #I.6 #J.2 #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
15. Madgraph on GPUs and vector CPUs: towards production (The 5-year journey to the first LO release CUDACPP v1.00.00)
    2025/03/27 by Valassi, Andrea, Childers, Taylor, Hageböck, Stephan +7 · 4 citations
    #65C05 #81T18 #81V05 #C.1.2 #Computational Physics (physics.comp-ph) #D.1.3 #FOS: Physical sciences #G.3 #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #I.6.8 #J.2
16. Fast Quantum Amplitude Encoding of Typical Classical Data
    2025/03/21 by Pagni, Vittorio, Huber, Sigurd, Epping, Michael +1 · 1 citation
    #81P68 #Data Structures and Algorithms (cs.DS) #F.1.2 #FOS: Computer and information sciences #FOS: Physical sciences #I.4.3 #I.4.8 #J.2 #Quantum Physics (quant-ph)
17. NeuMC -- a package for neural sampling for lattice field theories
    2025/03/14 by Bialas, Piotr, Korcyl, Piotr, Stebel, Tomasz +1 · 1 citation
    #68T07 #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #J.2 #Machine Learning (cs.LG)
18. Generative AI in Transportation Planning: A Survey
    2025/03/10 by Da, Longchao, Chen, Tiejin, Li, Zhuoheng +14 · 2 citations
    #68T99 #90B06 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #I.2.8 #I.6.3 #J.2
19. Position Paper: Unlocking the Potential of AI Researchers in Scientific Discovery-What Is Missing?
    2025/03/05 by Hui-Chu Yu, Yu, Hengjie, Liu, Shuya +8 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Medicine · #Artificial Intelligence in Healthcare and Education #C.3 #Computers and Society (cs.CY) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Human-Computer Interaction (cs.HC) #I.2.1 #I.2.4 #J.2 #J.3
20. Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions
    2025/02/28 by Patel, Aakash, Zhang, Tianqing, Avestruz, Camille +2 · 3 citations
    #62F15 #85A35 #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #I.2.10 #Image and Video Processing (eess.IV) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #J.2 #Machine Learning (cs.LG) #electronic engineering #information engineering
21. A generalized dual potential for inelastic Constitutive Artificial Neural Networks: A JAX implementation at finite strains
    2025/02/19 by Holthusen, Hagen, Linka, Kevin, Kuhl, Ellen +1 · 2 citations
    #65 #74 #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #I.6 #J.2 #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #and Science (cs.CE)
22. Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies
    2025/02/12 by Gian-Luca Geuken, Geuken, Gian-Luca, Patrick Kurzeja +5 · 6 citations
    Engineering · Physics and Astronomy · #68T07 #74B20 #Aeroelasticity and Vibration Control #Artificial Intelligence (cs.AI) #Computational Engineering #Elasticity and Material Modeling #FOS: Computer and information sciences #Finance #I.2.1 #J.2 #Model Reduction and Neural Networks #and Science (cs.CE)
23. Learning Memory and Material Dependent Constitutive Laws
    2025/02/08 by Bhattacharya, Kaushik, Cao, Lianghao, Stepaniants, George +2 · 1 citation
    #35B27 #65M60 #68T07 #74D05 #74D10 #74Q10 #74Q15 #FOS: Computer and information sciences #FOS: Mathematics #G.1.8 #I.6 #J.2 #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
24. Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
    2025/01/31 by Christopher Subich, Subich, Christopher, Syed Zahid Husain +5 · 9 citations
    Computer Science · Earth and Planetary Sciences · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #I.2.1 #I.2.6 #Image and Signal Denoising Methods #J.2 #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis
25. Mitigation of Delamination of Epitaxial Large-Area Boron Nitride for Semiconductor Processing
    2025/01/30 by Rogoza, Jakub, Iwanski, Jakub, Ludwiczak, Katarzyna +5 · 1 citation
    #Applied Physics (physics.app-ph) #FOS: Physical sciences #J.2 #Materials Science (cond-mat.mtrl-sci) #n.a
26. Micromagnetic Simulation and Optimization of Spin-Wave Transducers
    2025/01/27 by Bruckner, Florian, Davídková, Kristýna, Abert, Claas +2 · 1 citation
    #Computational Physics (physics.comp-ph) #FOS: Physical sciences #I.6.5 #J.2
27. FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
    2025/01/26 by Gupta, Sunny, Sutar, Vinay, Singh, Varunav +1 · 2 citations
    #Artificial Intelligence (cs.AI) #C.1.4 #Computer Vision and Pattern Recognition (cs.CV) #D.1.3 #Distributed #FOS: Computer and information sciences #H.3.4 #I.2.10 #I.2.11 #I.2.6 #I.4.0 #I.4.1 #I.4.10 #I.4.2 #I.4.6 #I.4.7 #I.4.8 #I.4.9 #I.5.1 #I.5.2 #I.5.4 #J.2 #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
28. LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering
    2025/01/25 by Liu, Beiming, Zhizhuo Cui, Shaojun Hu +8 · 1 citation
    Computer Science · #68T50 #90B30 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #J.2 #Topic Modeling
29. First-Principles and Machine Learning Insights into the Design of DOTT-Carbon and its Lithium-Ion Storage Capacity
    2025/01/09 by Lima, Kleuton. A. L., Abreu, Ana V. P., Silva, Alysson M. A. +1 · 2 citations
    #00-XX #FOS: Physical sciences #I.6 #J.2 #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
30. Secure Multi-Party Biometric Verification using QKD assisted Quantum Oblivious Transfer
    2025/01/09 by Ramos, Mariana F., Hentschel, Michael, Valbusa, Federico +7 · 1 citation
    #81 Quantum Theory #FOS: Physical sciences #J.2 #Quantum Physics (quant-ph)

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