FunDiff: diffusion models over function spaces for physics-informed generative modeling
https://www.nature.com/articles/s41467-026-72292-0#code-availability
physics-intern: an autonomous agentic framework for physics research
https://huggingface.co/spaces/huggingface/physics-intern
Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
https://arxiv.org/abs/2604.05230v1
ChatGPT Spits Out Surprising Insight in Particle Physics
https://www.ias.edu/news/chatgpt-spits-out-surprising-insight-particle-physics
Get Physics Done
https://github.com/psi-oss/get-physics-done
Dimensional - The Agentive Operating System for Physical Space
https://github.com/dimensionalOS/dimos
Einstein Fields official implementation in JAX
https://github.com/AndreiB137/EinFields
From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers
https://arxiv.org/pdf/2602.06923
A physics-informed graph neural network conserving linear and angular momentum for dynamical systems
https://www.nature.com/articles/s41467-025-67802-5
Divergence-Free Diffusion Models for Incompressible Fluid Flows
https://arxiv.org/abs/2601.19368
P1: Mastering Physics Olympiads with Reinforcement Learning
https://github.com/PRIME-RL/P1
Physics-consistent machine learning: output projection onto physical manifolds
https://arxiv.org/abs/2502.15755
Deep Learning in Astrophysics
https://arxiv.org/abs/2510.10713
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
https://arxiv.org/abs/2510.05228
AI tensor network-based computational framework cracks a 100-year-old physics challenge
https://www.lanl.gov/media/news/0915-thor-ai
Towards a Physics Foundation Model
https://github.com/FloWsnr/General-Physics-Transformer
Learning Hamiltonian Dynamics at Scale: A Differential-Geometric Approach
https://arxiv.org/abs/2509.24627