Shuiwang Ji
@ShuiwangJi
Machine Learning, AI for Science, Professor and Truchard Family Chair, Texas A&M University
New paper alert: A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling arxiv.org/abs/2506.07969

Teaches American kids the skills they need to cure diseases or start companies. She embodies the American dream. Are we going to leave people like her stuck in Xi Jinping’s China?
AI+Science book is now up, After years of work, our book on Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems is available at Foundations and Trends® in Machine Learning. We cover the history of works in the intersection of AI and Science, to…
Our 500+ page AI4Science paper is finally published: Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. Foundations and Trends® in Machine Learning, Vol. 18, No. 4, 385–912, 2025 nowpublishers.com/article/Detail…
Our 500+ page AI4Science paper is finally published: Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. Foundations and Trends® in Machine Learning, Vol. 18, No. 4, 385–912, 2025 nowpublishers.com/article/Detail…

Any interests in extracting invariant functions or physical laws from complex environments? Check our new ICML paper “Discovering Physics Laws of Dynamical Systems via Invariant Function Learning” at arxiv.org/abs/2502.04495! #ICML2025
New paper alert: Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training arxiv.org/abs/2506.09433

New paper alert: Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames arxiv.org/abs/2506.09398

New paper alert: Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning arxiv.org/abs/2506.06632

Excited to share our latest preprint on LLM Agents, beyond tool use, for Materials Discovery. 🎉 ✨Unleash the discovery power of LLM agents by human intuitions ✨Achieve SOTA results without training ✨Towards greater autonomy with human in the loop
New paper alert: Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists. arxiv.org/abs/2506.05616

Science is under siege. Trump’s latest Executive Order calls for politically appointed science commissars to evaluate research. Join me in adding your name to our open letter condemning Trump’s escalated assault on science in America. Sign here: actionnetwork.org/petitions/open…
🚀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝘀 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗟𝗲𝗮𝗽 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗗𝗿𝗶𝘃𝗶𝗻𝗴—𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗛𝗶𝘁𝗰𝗵𝗵𝗶𝗸𝗲𝗿'𝘀 𝗚𝘂𝗶𝗱𝗲 𝗬𝗼𝘂’𝘃𝗲 𝗕𝗲𝗲𝗻 𝗪𝗮𝗶𝘁𝗶𝗻𝗴 𝗙𝗼𝗿! 🚀 We're thrilled to share our most comprehensive, 128-page…
Texas A&M Hosts Inaugural AI Workshop For Science And Engineering stories.tamu.edu/news/2025/05/1…

I really enjoyed the RAISE Workshop (raise-tamu.net) at @TAMU today and share my work! Huge thanks to Prof. @ShuiwangJi for organizing such an inspiring event. I’m excited about all the incredible research happening at @TAMU at the intersection of AI and science!