Machine Learning Force Fields and Surrogate Models for Atomistic Simulations I
FOCUS · MAR-M42 · ID: 4002720
Presentations
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Toward Autonomous Scattering Experiments with Surrogate Models and Agentic AI
ORAL · Invited
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Publication: 1. Chen, Z., Petsch, A., Ji, Z., Chitturi, S., Peng, C., Jia, C., ... & Turner, J. (2025). Implicit neural representations for experimental steering of advanced experiments. Cell Reports Physical Science, 6(1).
2. Chen, Z., Petsch, A., Israelski, A., Plumley, R., Shen, L., Wang, C., ... & Turner, J. (2025). An Agentic Artificially Intelligent X-ray Scientist. Research Square preprint.Presenters
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Zhantao Chen
- Walker Department of Mechanical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
- The University of Texas at Austin
Authors
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Zhantao Chen
- Walker Department of Mechanical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
- The University of Texas at Austin
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Alexander Nicolas Dominik Petsch
- SLAC National Accelerator Laboratory
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Zhurun (Judy) Ji
- Massachusetts Institute of Technology
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Aidan Israelski
- SLAC National Accelerator Laboratory
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Rajan Plumley
- SLAC National Accelerator Laboratory
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Sathya Chitturi
- Stanford University
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Cheng Peng
- SLAC National Accelerator Laboratory
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Lingjia Shen
- SLAC National Accelerator Laboratory
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Cong Wang
- SLAC National Accelerator Laboratory
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Ni Yuan
- SLAC National Accelerator Laboratory
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Alexander I Kolesnikov
- Oak Ridge National Laboratory
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Chunjing Jia
- University of Florida
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Arun Bansil
- Department of Physics, Northeastern University, Boston, MA, USA
- Northeastern University
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Sugata Chowdhury
- Howard University
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Mingda Li
- Massachusetts Institute of Technology
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Vivek Thampy
- SLAC National Accelerator Laboratory
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Jana B Thayer
- SLAC National Accelerator Laboratory
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Joshua J Turner
- SLAC National Accelerator Laboratory
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Mapping the Free-Energy Landscape of MFI Zeolite Nanosheet Assembly with the ChIMES Machine-Learned Potential
ORAL
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Presenters
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Sayed Ahmad Almohri
- University of Michigan
Authors
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Sayed Ahmad Almohri
- University of Michigan
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Vallabh Vasudevan
- University of Michigan
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Rebecca K Lindsey
- Lawrence Livermore National Laboratory
- University of Michigan
- University of Michigan, Ann Arbor
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Iterative fine-tuning of MACE foundation models
ORAL
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Presenters
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Noam Bernstein
- United States Naval Research Laboratory
Authors
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Noam Bernstein
- United States Naval Research Laboratory
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Michael W Swift
- United States Naval Research Laboratory
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Michelle Dawn Johannes
- United States Naval Research Laboratory
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Edwin A Antillon
- U.S. Naval Research Laboratory
- United States Naval Research Laboratory
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Abstract Withdrawn
ORAL · Withdrawn
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Similarity Metric for Data Optimization and Efficient Training of Reactive Machine Learning Force Fields
ORAL
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Publication: Kwangnam Kim, Matthew P. Kroonblawd, and Nir Goldman, Similarity Metric for Data Optimization and Efficient Training of Reactive Machine Learning Force Fields for Hydrocarbon Radiolysis, Submitted.
Presenters
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Kwangnam Kim
- Lawrence Livermore National Laboratory
Authors
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Kwangnam Kim
- Lawrence Livermore National Laboratory
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Matthew P Kroonblawd
- Lawrence Livermore National Laboratory
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Nir Goldman
- Lawrence Livermore National Laboratory
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An Ensemble-Based, Active-Learning Approach to Refine Foundational MLIPs for Applications at Extreme Conditions
ORAL
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Publication: Ensemble-FF-Fit: An automated framework for ensemble force field fitting. RJ Morelock, S Bagchi, P Ganesh. In preparation.
Presenters
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Ryan Jackson Morelock
- Oak Ridge National Laboratory
Authors
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Ryan Jackson Morelock
- Oak Ridge National Laboratory
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Soumendu Bagchi
- Oak Ridge National Laboratory
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JIngsong Huang
- Center for Nanophase Materials Science, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
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Eva Zarkadoula
- Oak Ridge National Laboratory
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Panchapakesan Ganesh
- Oak Ridge National Laboratory
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Fine-Tuning Approach for Simulating Organic Materials under Shockwaves
ORAL
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Presenters
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Huy Pham
- Lawrence Livermore National Laboratory
Authors
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Huy Pham
- Lawrence Livermore National Laboratory
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Nir Goldman
- Lawrence Livermore National Laboratory
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Laurence E. Fried
- Lawrence Livermore National Laboratory
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