001 Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets arXiv Paper Ali Rayat et al. Yesterday 002 A Physics-Informed Neural Operator for Thermal Ranking of Low-Cost Wall Materials in Hot-Dry Climates arXiv Paper Muhammad Akbar Khan, Fahim Raees et al. 3 days ago 003 Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics arXiv Paper Dário Passos 3 days ago 004 Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes arXiv Paper S. S. Cranganore, Sebastian Lehner et al. 4 days ago 005 Physics-Informed Neural Networks for Discovering Periodic Orbits in the Gravitational Three-Body Problem arXiv Paper Nikolaos Kollias, NIKOLAOS M. Matzakos 5 days ago 006 Latent PDE mapping for efficient physics-informed learning across geometries with limited data arXiv Paper I. A. Adde, M. Maleckar et al. 7 days ago 007 Cycle-Consistent and Uncertainty-Aware Neural Surrogates for Tokamak Edge Plasmas arXiv Paper A. Diaw, S. D. Pascuale et al. Jul 23 008 Graph-Theoretic Neural Network Fragmentation with Covariant Direct Molecular Force Learning: Enabling Coupled-Cluster Accuracy AIMD for Fluxional Systems arXiv Paper Arne Bewersdorff, Matías Rojas et al. Jul 23 009 Dynamical and Optimization Trade-offs of Levi--Civita Coordinates for Learned Close-Encounter Dynamics arXiv Paper Abhishek Shankar Jul 22 010 Hypothesis-and-Refinement Learning of Organic Structures from Multimodal Spectroscopic Data arXiv Paper Chengchun Liu, Zhiyuan Yan et al. Jul 22 011 Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling arXiv Paper Somesh Pratap Singh, G. Padmanabha et al. Jul 22 012 Multi-modal transformer for signal classification in nanopore blockade experiments arXiv Paper Sandro Kuppel, Julian Hoßbach et al. Jul 22 013 Nuclear Quantum Effects as a Denoising Problem arXiv Paper Weizhou Wang, J. Weare et al. Jul 22 014 ATLAS: A Foundation Neural Sampler for Amorphous Materials arXiv Paper Mouyang Cheng, Denis Blessing et al. Jul 21 015 Enhanced Neural Quantum State via Annealed Gradient Descent arXiv Paper Shiwei Zhou, Yiming Huang et al. Jul 21 016 Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion arXiv Paper Haoze Zhang, Han Li et al. Jul 21 017 Uncertainty quantification in mechanics: A unified Bayesian perspective arXiv Paper Sascha Ranftl, M. Rolf et al. Jul 21 018 Grounded verification of chemical and materials reasoning: detection is the bottleneck arXiv Paper Can Polat, Mustafa Kurban et al. Jul 19 019 Microstructure-Conditioned Surrogate Models for Graded Multiscale Optimization of Mycelium Composites arXiv Paper J. Storm, I. Rocha et al. Jul 15 020 Towards end-to-end optimization in multimaterial 3D printing arXiv Paper Xue-Ling Luo, Steven J. Yang et al. Jul 14 021 Projection-Domain Sensitivity Analysis of Vertebral DRRs Under Intrinsic Calibration Perturbation arXiv Paper Lin Li, Chaochao Zhou et al. Jul 12 022 Asymmetric Focal Loss Improves Graph Neural Network Prediction of Drug-Drug Interactions arXiv Paper Faranak Hatami, Mousa Moradi Jul 8 023 Higher-Order Geometric Updates for Levenberg-Marquardt Method via Riemann Normal Coordinates arXiv Paper Jianing Liu, Dong H. Zhang Jul 8 024 Kime-Representation Formulations of Three Open Problems in the Foundations of Classical Mechanics: Uncertainty, Invariant Entropy, and Directional Degrees of Freedom arXiv Paper I. Dinov Jul 8 025 Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design arXiv Paper Wenhao Fan, Yuanwei Bin et al. Jul 7 026 Physics-Informed Neural Embeddings of PDE Solution Families arXiv Paper Raúl Jiménez, S. Mayboroda et al. Jul 7 027 A Physics-Regulated Neural Framework for Learning 3D Grain Growth Dynamics arXiv Paper Zhihui Tian, Kang Yang et al. Jul 6 028 EquiFiLM: Charge-Conditioned Equivariant Force Fields via Feature-wise Linear Modulation arXiv Paper Samuel Sahel-Schackis, K. Nomura et al. Jul 6 029 CSympNet-ID: conformal-symplectic map learning for linearly damped Hamiltonian systems arXiv Paper J.Y. Gong, Pengzhan Jin et al. Jul 3 030 An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks arXiv Paper Joseph J. Webb, S. Jerad et al. Jul 2 031 Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials arXiv Paper Gil Harari, Yoel Zimmermann et al. Jul 2 032 CodeJeNN: A simple C++ neural network generator for physics applications arXiv Paper Jay Arcities, Pavel D. Popov et al. Jul 2 033 Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics arXiv Paper Haonan Huang Jul 2 034 Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses arXiv Paper Kanad Sen, R. Maulik Jul 2 035 A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dynamics Prediction arXiv Paper Xin-Yang Liu, Xiantao Fan et al. Jul 1 036 Learning Effective Soliton Dynamics from Scattering Data arXiv Paper Seth Minor et al. Jul 1 037 Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization arXiv Paper Hao Xu, Siyu Lou et al. Jun 29 038 Local-Minima-Preserving Continuous Relaxation of Ising Problems arXiv Paper Debraj Banerjee, Santanu Mahapatra et al. Jun 29 039 ScaleAware-JEPA: Latent Representation for Discovery in Multiscale Physical Fields arXiv Paper Guanghe Li Jun 29 040 A Bayesian latent Gaussian process framework for aerodynamic uncertainty quantification arXiv Paper Geoffrey Davis, Ashwin Renganathan Jun 27 041 MALOQ: Massively Accelerated Learning of Operators for Quantum Transport arXiv Paper M. Kaniselvan, A. Maeder et al. Jun 27 042 Mosaic: A Benchmark Suite for Differentiable Physics Solvers arXiv Paper Andrin Rehmann, Heiko Zimmermann et al. Jun 26 043 Diffusion-corrected Autoregressive Fourier Neural Operator for Droplet Evolution Prediction arXiv Paper Jinghao Cao, Minsung Kang et al. Jun 25 044 Gradient-based inverse lithography for EUV masks via the waveguide method and a physics-informed neural operator arXiv Paper V. A. Es'kin, E. V. Ivanov Jun 24 045 Two-dimensional Hyperbolic RNN Neural Quantum State arXiv Paper H. Dao Jun 24 046 Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos arXiv Paper Nima Dehghani Jun 22 047 One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields arXiv Paper Yijing Zhou, Jasmin Jelovica Jun 22 048 The Degeneracy Distillery arXiv Paper T. Makinen, D. Bartlett et al. Jun 22 049 Agentic Symbolic Search: Characterizing PDEs Beyond Hand-crafted Expressions, Meshes, and Neural Networks arXiv Paper Zongmin Yu, Liu Yang Jun 18 050 Physics-Informed Neural Network with Squeeze-Excitation-like Attention arXiv Paper Yun-Fei Song, Long-Gang Pang et al. Jun 18 051 Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs arXiv Paper Xiang Rao, Yuxuan Shen Jun 18 052 Structure-Oriented Randomized Neural Networks for Poisson-Nernst-Planck and Poisson-Nernst-Planck-Navier-Stokes Systems arXiv Paper Yunlong Li, Fei Wang Jun 18 053 Acceleration of an algebraic multigrid pressure solver using graph neural networks arXiv Paper Eric Chill'on, Artur K. Lidtke et al. Jun 17 054 Trainable Photonic Measurement for Physics-Informed PDE Learning arXiv Paper Jiale Linghu, Hao Dong et al. Jun 17 055 A Convex Quasilinearization Method for Solving Nonlinear PDEs with Physics-Informed Neural Networks arXiv Paper G. T. Awojinrin, Abdul-Akeem Olawoyin et al. Jun 16 056 INI-VPINN: A Variational Physics-Informed Neural Network with Implicit Neumann and Interface Handling for Multi-Material Domains with Geometric Singularities arXiv Paper S. Dodge, A. Formisano et al. Jun 16 057 Operator Boosting Produces Pareto-Efficient PDE Surrogates arXiv Paper Lennon Shikhman Jun 16 058 Graphical conditional generative modeling for digital twin modeling arXiv Paper Zongren Zou, Théo Bourdais et al. Jun 15 059 Learning Interface Breakup: A Geometry-Conditioned Latent Surrogate for Spray Formation arXiv Paper Julius H Ramlau, Friedrich Hastedt et al. Jun 15 060 PhysGuard: Fisher-Guided Gradient Projection for Sim-to-Real Neural PDE Surrogates arXiv Paper Changjian Zhou, Junfeng Fang et al. Jun 15