Generative Models and Machine Learning in Chemical Physics I
FOCUS · MAR-S68 · ID: 3087935
Presentations
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Reweighting Ensembles of Backmapped Configurations for Protein Sidechains and Water
ORAL · Invited
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Publication: Monroe, J. I. Exploring the Feasibility of Reweighting in Transferable, Machine Learned Models for Protein Sidechain Backmapping. (In preparation).
Presenters
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Jacob Monroe
- UNIVERSITY OF ARKANSAS
Authors
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Jacob Monroe
- UNIVERSITY OF ARKANSAS
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Leveraging Unitary Invariance of the Wavefunction for Energy Prediction in Strongly Correlated Systems
ORAL
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Presenters
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Valerii Chuiko
- McMaster University
Authors
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Valerii Chuiko
- McMaster University
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Paul Ayers
- McMaster University
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Construction, Evaluation, and Optimization of Permutationally-Invariant Polynomial Expansion of Molecular Potential Energy Surfaces
ORAL
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Presenters
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Yeonjun Jeong
- Argonne National Laboratory
Authors
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Yeonjun Jeong
- Argonne National Laboratory
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Christopher J Knight
- Argonne National Laboratory, IL, USA
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Hyeondeok Shin
- Argonne National Laboratory
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Michael J Davis
- Argonne National Laboratory
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Ahren W Jasper
- Argonne National Lab
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A Generalized Machine-learned Interatomic Potential for Chemical Reaction Pathways and Transition States
ORAL
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Presenters
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Nima Karimitari
- University of South Carolina
Authors
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Nima Karimitari
- University of South Carolina
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Christopher Sutton
- University of South Carolina
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Abhilash Patra
- University of South Carolina
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Derek W Vigil-Fowler
- National Renewable Energy Laboratory
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Ravishankar Sundararaman
- Rensselaer Polytechnic Institute
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Ellen Zhong
ORAL · Invited
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Presenters
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Ellen Zhong
- Princeton
Authors
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Ellen Zhong
- Princeton
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Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy
ORAL
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Publication: arXiv:2405.12229
Presenters
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Hao Tang
- Massachusetts Institute of Technology
Authors
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Hao Tang
- Massachusetts Institute of Technology
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Brian Xiao
- UC Berkeley
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Wenhao He
- Massachusetts Institute of Technology
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Yao Wang
- Clemson University
- Emory University
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Fang Liu
- Emory University
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Haowei Xu
- Massachusetts Institute of Technology
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Ju Li
- Massachusetts Institute of Technology
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Ab initio Structure Determination of Polycrystalline Materials Using 4D-STEM
ORAL
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Presenters
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Jungyoun Cho
- University of California Los Angeles
- University of California, Los Angeles
- California NanoSystems Institute (CNSI), University of California, Los Angeles, California 90095, USA
- California NanoSystems Institute (CNSI), University of California
Authors
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Jungyoun Cho
- University of California Los Angeles
- University of California, Los Angeles
- California NanoSystems Institute (CNSI), University of California, Los Angeles, California 90095, USA
- California NanoSystems Institute (CNSI), University of California
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Ambarneil Saha
- LBNL
- Lawrence Berkeley National Laboratory
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Peter Ercius
- LBNL
- Lawrence Berkeley National Laboratory
- Lawrence Berkeley national laboratory
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Matthew H Mecklenburg
- University of California Los Angeles
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Teacher-Student Training improves accuracy and efficiency of Machine Learning Interatomic Potentials
ORAL
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Presenters
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Sakib Matin
- Los Alamos National Laboratory (LANL)
- Los Alamos National Laboratory
Authors
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Sakib Matin
- Los Alamos National Laboratory (LANL)
- Los Alamos National Laboratory
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Alice Allen
- Los Alamos National Lab
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Emily Shinkle
- Los Alamos National Laboratory
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Yulia Pimonova
- University of Utah
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Aleksandra Pachalieva
- Los Alamos National Laboratory (LANL)
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Galen Craven
- Los Alamos National Laboratory (LANL)
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Ben T Nebgen
- Los Alamos National Laboratory (LANL)
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Justin Smith
- Nvidia
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Richard Alma Messerly
- Los Alamos National Laboratory (LANL)
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Ying Wai Li
- Los Alamos National Laboratory
- Los Alamos National Laboratory (LANL)
- Los Alamos National Lab
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Sergei Tretiak
- Los Alamos National Laboratory (LANL)
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Kipton Marcos Barros
- Los Alamos National Laboratory (LANL)
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Nicholas E Lubbers
- Los Alamos National Laboratory
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Roberto Covino
ORAL · Invited
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Presenters
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Roberto Covino
- Frankfurt Institute of Advanced Studies
Authors
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Roberto Covino
- Frankfurt Institute of Advanced Studies
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