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arXivPhysics-informed ML & PDEs

PDE-JEPA: Predictive Representation Learning of Latent Dynamics Modeling for Parametric PDEs

PDE-JEPA introduces predictive masked-latent pretraining with geometry projection and structured latent predictors for parametric PDE dynamics, reducing errors by 33.4% in-distribution and 51.4% on unseen parameters.

Zhentao Tan, Jianrong Zhang, Ruijie Quan, Yi Yang

Published Sep 28, 2026 · 0 citations · ▲ 53 on Hugging Face · Code ★ 9

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NeurIPS 2026U BarcelonaGoogle Deepmind / HarvardPhysics-informed ML & PDEs

Generalizable Physics Simulation through Compositional Energy Minimization

Alexandru Oarga, Yilun Du

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of TechnPhysics-informed ML & PDEs

GLOBE: Accurate Surrogates for Boundary-Driven PDEs via Domain-Inspired Architectures and Equivariance

Peter Sharpe

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026The University of Electro-CommunPhysics-informed ML & PDEs

Sliced Wasserstein Meets Quantum Optics: Provable Wavefunctions Tomography with Scarce Noisy Measurements

Takahiro Kajisa

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Koreakorea universityPhysics-informed ML & PDEs

Gauge-Symmetric Dual Lagrangian Frameworks for Born-Oppenheimer Molecular Dynamics

Sungwoo Park, Jongwon Lee, Jiwoong Kim, Hyung-sik Yoon

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026TsinghuaPrincetonPhysics-informed ML & PDEs

Discovering Phase Space Structure in Learned Hamiltonian Systems

Jiayin Liu, Yulong Yang, Vineet Bansal, Christine Allen-Blanchette

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Fujitsu Research of AmericaFujitsu Research and DevelopmentPhysics-informed ML & PDEs

NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling

Ting-Yu Dai, Takuya Kurihana, Wing Yee Au, YUNG WONG

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U OxfordPhysics-informed ML & PDEs

Trajectory-Consistent Dropout for Uncertainty Decomposition in Hamiltonian Neural Networks

Stephen J Roberts, Yuki Tachibana

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Exponent Inc.Physics-informed ML & PDEs

Train on the Sphere, Deploy on the Hill: Closed-Form-Anchored Surrogates for Real-Terrain Boundary-Integral Equations

Stephane Zsoldos, Therice Morris, Varundev Sukhil, Benjamin Wetherfield

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Los Alamos National LaboratoryPhysics-informed ML & PDEs

Foundation Models for Particle Accelerators

Mahindra Rautela, Alexander Scheinker

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026HunanTsinghua University, TsinghuaChangsha University of Science aPhysics-informed ML & PDEs

GEMS-3D: A Large-Scale 3D Gravity, Electrical, Magnetic, and Seismic Earth Simulation Dataset for Multimodal Geophysical Learning

Yonghao Wang, Meijia Huang, Wenkai Lu, Zhuo Jia and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SemyungPhysics-informed ML & PDEs

PINNBench: A Benchmark and Evaluation Study of Training Policy Selection in Hybrid PINN-Operator Solvers

Suan Lee, Namhyeon Kim, Dongmin Jin

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026KoreaPhysics-informed ML & PDEs

Symplectic Parallel Scan: A Neural Hamiltonian Framework for Accelerated Scientific Simulation

Sungwoo Park

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Science and Technology of ChinHunanPhysics-informed ML & PDEs

PI-EDG: Physics-Informed Full-Space Electron Density Generation from Molecular Geometry

Jiahang Shen, Hongxin Xiang, Zhixiang Cheng, Keke Chen and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026PrincetonPhysics-informed ML & PDEs

Frequency-Structured Hamiltonian Neural Network for Multi-Timescale Dynamics

Yaojun Li, Yulong Yang, Christine Allen-Blanchette

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SLAC National Accelerator LaboraUniversity College London, UniveTechnische Universität MünchenUCLHumboldt Universität BerlinPhysics-informed ML & PDEs

Neural Scaling Laws in Particle Jets

Matthias Vigl, Nikita Pond, Nicole Hartman, Jackson Barr and 10 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SichuanPhysics-informed ML & PDEs

ALETHEIA: A Multi-Frequency Eddy Current Pulsed Thermography Dataset for Neural Operator Learning in Nondestructive Testing

Changbin Sun, Xiaojie, Xiaotian Chen, Yuankai Wu

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026NorthwesternNorthwestern University, NorthweU FloridaPhysics-informed ML & PDEs

Axiomatic World Modeling for Physics Reasoning

Xinye Yang, Zhenyang Liu, Yuxuan Wang, Yuanyuan Lei

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026AXXX, Institute of Numerical MatNorth-Eastern FederalLaboratory of Computational InteThe Chinese University of Hong KInstitute of Numerical MathematiPhysics-informed ML & PDEs

Transolver-GMsFEM: A Hybrid Framework for High-Contrast Multiscale PDEs on Irregular Grids

Alexander Rudikov, Sergei Stepanov, Vladimir Fanaskov, Eric Chung and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026SpotlightU CambridgePrincetonPhysics-informed ML & PDEs

Learning Discrete Riemannian Metrics for Physical Fields with Cochain-Frame Equivariance

Dongzhe Zheng, Christine Allen-Blanchette

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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