Language Models and Foundation Models for Physics Applications
FOCUS · MAR-F42 · ID: 4001099
Presentations
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Analytic Theories of Creativity and Generalization in Diffusion Models
ORAL · Invited
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Publication: Kamb, M., & Ganguli, S. An analytic theory of creativity in convolutional diffusion models. In Forty-second International Conference on Machine Learning.
Presenters
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Mason Kamb
- Stanford University
Authors
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Mason Kamb
- Stanford University
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Surya Ganguli
- Stanford University
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A machine learning perspective on microscopic models for materials: Hamiltonian learning and simulation using neural quantum states
ORAL · Invited
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Publication: [1] https://arxiv.org/abs/2509.06947
[2] https://arxiv.org/abs/2411.10430Presenters
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Annabelle Bohrdt
- LMU Munich
- University of Regensbury
Authors
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Annabelle Bohrdt
- LMU Munich
- University of Regensbury
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Hannah Lange
- LMU Munich
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Annika Böhler
- LMU Munich
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Christopher Roth
- Simons Foundation (Flatiron Institute)
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Tizian Blatz
- LMU Munich
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Sebastian Paeckel
- Ludwig-Maximilians-Universitaet (LMU-Munich)
- LMU Munich
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Ulrich Schollwöck
- Ludwig-Maximilians Universität (LMU Munich)
- Ludwig-Maximilians-Universitaet (LMU Munich)
- Ludwig-MaximiliansUniversitaet (LMU Munich)
- LMU Munich
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Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models
ORAL
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Presenters
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Shunshun Liu
- University of Virginia
Authors
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Shunshun Liu
- University of Virginia
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Talon R Booth
- University of Virginia
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Yangfeng Ji
- University of Virginia
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Wesley F Reinhart
- Pennsylvania State University
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Prasanna V Balachandran
- University of Virginia
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MORPH: Shape-Agnostic Foundation Models for Heterogeneous PDE Systems
ORAL
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Publication: Rautela, Mahindra Singh, et al. "MORPH: Shape-agnostic PDE Foundation Models." arXiv preprint arXiv:2509.21670 (2025).
Presenters
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Mahindra Rautela
- Los Alamos National Laboratory
Authors
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Mahindra Rautela
- Los Alamos National Laboratory
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Alexander Most
- Los Alamos National Laboratory
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Siddharth Mansingh
- Los Alamos National Laboratory
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Bradley Love
- Los Alamos National Laboratory
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Diane Oyen
- Los Alamos National Laboratory
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Earl Lawrence
- Los Alamos National Laboratory
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Ayan Biswas
- Los Alamos National Laboratory
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Towards a formally verified framework for quantum physics in the age of artificial intelligence using Lean4
ORAL
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Presenters
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Leopoldo Sarra
- Axiomatic AI
Authors
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Izan Beltran Ferreiro
- Axiomatic AI
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Austin Letson
- Axiomatic AI
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Krystian Nowakowski
- Axiomatic AI
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Borja Requena Pozo
- Axiomatic AI
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Leopoldo Sarra
- Axiomatic AI
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Resolving Multi-Level Discrepancies in Information Extraction: Foundation Models for Autonomous Interdisciplinary Literature Analysis in Physics
ORAL
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Presenters
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Jian Yang
- Westlake Corp.
Authors
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Jian Yang
- Westlake Corp.
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Michael Dessauer
- Westlake Corp.
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Constantyn Chalitsios
- Westlake Corp.
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Probing the Critical Point (CritPt) of AI Reasoning: Benchmarking LLMs at the Frontier of Physics
ORAL
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Publication: Zhu, M., Tian, M., Yang, X., Zhou, T., Zhu, P., Chertkov, E., ... & Peng, H. (2025). Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark. arXiv preprint arXiv:2509.26574.
Presenters
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Minhui Zhu
- Argonne National Laboratory
Authors
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Minhui Zhu
- Argonne National Laboratory
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Minyang Tian
- Argonne National Laboratory, University of Illinois Urbana-Champaign
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Xiaocheng Yang
- University of Illinois Urbana-Champaign
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Tianci Zhou
- Massachusetts Institute of Technology
- Virginia Polytechnic Institute and State University
- Virginia Tech
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Penghao Zhu
- Ohio State University
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Eli Chertkov
- Independent
- Quantinuum
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Shengyan Liu
- University of Illinois at Urbana-Champaign
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Yufeng Du
- University of Illinois Urbana-Champaign
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Lifan Yuan
- University of Illinois Urbana-Champaign
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Ziming Ji
- Northeastern University
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Indranil Das
- University of Illinois at Urbana-Champaign
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Junyi Cao
- University of Illinois at Urbana-Champaign
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Yufeng Du
- California Institute of Technology
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Jinchen He
- University of Maryland College Park
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Yifan Su
- Massachusetts Institute of Technology
- Columbia University
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Peixue Wu
- University of Waterloo
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Jiabin Yu
- University of Florida
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Yikun Jiang
- Northeastern University
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Yujie Zhang
- Perimeter Institute for Theoretical Physics, University of Waterloo
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Chang Liu
- University of Connecticut
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Daniel A Inafuku
- University of Illinois at Urbana-Champaign
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Nicholas Chia
- Argonne National Laboratory
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Eliu Huerta
- Argonne National Laboratory
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Hao Peng
- University of Illinois Urbana-Champaign
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Mutual Information Scaling Law for Long-Context Language Modeling
ORAL
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Publication: https://arxiv.org/abs/2503.04725
https://neurips.cc/virtual/2025/poster/115721Presenters
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Zhuo Chen
- Massachusetts Institute of Technology
Authors
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Zhuo Chen
- Massachusetts Institute of Technology
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Oriol Mayné i Comas
- Massachusetts Institute of Technology
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Zhuotao Jin
- Massachusetts Institute of Technology
- Harvard University
- Harvard University, Massachusetts Institute of Technology
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Di Luo
- University of California, Los Angeles
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Marin Soljacic
- Massachusetts Institute of Technology
- MIT
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AI-Fitter: LLM-Assisted Curve Fitting for Physics Research Without Manual Initialization
ORAL
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Presenters
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Allison Cao
- Portland State University
Authors
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Allison Cao
- Portland State University
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Kacharat Supichayanggoon
- Portland State University
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Andres La Rosa
- Portland State University
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