Emerging Trends in Molecular Dynamics Simulations and Machine Learning II
FOCUS · Q46 · ID: 47205
Presentations
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Bio-inspired machine learning towards mechanistic insights, generative design, and discovery from the bottom up
ORAL · Invited
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Presenters
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Markus Buehler
MIT, Massachusetts Institute of Technology MI
Authors
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Markus Buehler
MIT, Massachusetts Institute of Technology MI
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Development of SNAP Interatomic Potentials for Gas-Metal Interactions for Fusion Energy Materials
ORAL
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Presenters
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Mary Alice Cusentino
Sandia National Laboratories
Authors
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Mary Alice Cusentino
Sandia National Laboratories
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Mitchell A Wood
Sandia National Laboratories
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Aidan P Thompson
Sandia National Laboratories
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Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates
ORAL
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Publication: M. R. Hasyim, C. H. Batton, and K. K. Mandadapu. "Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates." arXiv preprint arXiv:2107.13522 (2021).
Presenters
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Clay H Batton
University of California, Berkeley
Authors
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Clay H Batton
University of California, Berkeley
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Muhammad R Hasyim
University of California, Berkeley
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Kranthi K Mandadapu
University of California, Berkeley
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Learning to Simulate Time-averaged Coarse-grained Molecular Dynamics with Geometric Machine Learning
ORAL
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Presenters
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Xiang Fu
Massachusetts Institute of Technology MI, Massachusetts Institute of Technology
Authors
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Xiang Fu
Massachusetts Institute of Technology MI, Massachusetts Institute of Technology
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Tian Xie
Massachusetts Institute of Technology
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Nathan J Rebello
Massachusetts Institute of Technology
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Bradley D Olsen
Massachusetts Institute of Technology MI, Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT
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Tommi S Jaakkola
Massachusetts Institute of Technology
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Simulating materials with quantum computers
ORAL · Invited
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Presenters
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Lindsay Bassman
Lawrence Berkeley Lab, Lawrence Berkeley National Laboratory
Authors
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Lindsay Bassman
Lawrence Berkeley Lab, Lawrence Berkeley National Laboratory
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Size-Dependent Melting Temperature of Rubidium: Thermodynamic Integration Based on First-principles Calculations
ORAL
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Presenters
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Shogo Fukushima
Kumamoto University, University of Southern California, Univ of Southern California
Authors
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Shogo Fukushima
Kumamoto University, University of Southern California, Univ of Southern California
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Aiichiro Nakano
Univ of Southern California
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Rajiv K Kalia
Univ of Southern California
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Priya Vashishta
Univ of Southern California, University of Southern California
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Fuyuki Shimojo
Kumamoto Univ
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Hiroyuki Kumazoe
Kumamoto Univ
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Masaaki Misawa
Okayama Univ
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Kohei Shimamura
Kumamoto University, Kumamoto Univ
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Akihide Koura
Kumamoto Univ
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Asymmetric Carrier Transport in Two-Dimensional Ferroelectric Layers
ORAL
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Presenters
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RURU MA
University of Southern California
Authors
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RURU MA
University of Southern California
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Anikeya Aditya
University of Southern California
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Thomas M Linker
University of Southern California
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Shogo Fukushima
Kumamoto University, University of Southern California, Univ of Southern California
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Fuyuki Shimojo
Kumamoto Univ
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Aiichiro Nakano
Univ of Southern California
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Rajiv K Kalia
Univ of Southern California
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Priya Vashishta
Univ of Southern California, University of Southern California
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Graph Neural Network with Inductive Bias for Robust Molecular Dynamics
ORAL
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Presenters
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Pankaj Rajak
University of Southern California
Authors
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Pankaj Rajak
University of Southern California
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Aravind Krishnamoorthy
Univ of Southern California, University of Southern California
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Rajiv K Kalia
Univ of Southern California
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Aiichiro Nakano
Univ of Southern California
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Priya Vashishta
Univ of Southern California, University of Southern California
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Ekin D Cubuk
Google LLC
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Neural Network Potentials for CO2 Adsorption in Amine-Appended Metal-Organic Frameworks
ORAL
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Presenters
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Yusuf Shaidu
University of California, Berkeley
Authors
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Yusuf Shaidu
University of California, Berkeley
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Jeffrey B Neaton
Lawrence Berkeley National Laboratory, University of California, Berkeley; Lawrence Berkeley National Laboratory; Kavli Energy NanoSciences Institute at Berkeley, Department of Physics, University of California, Berkeley; Materials Sciences Division, Lawrence Berkeley National Laboratory; Kavli Energy NanoScience Institute at Berkeley, Department of Physics, University of California, Berkeley, CA 94720; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720; Kavli Energy Nano
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Machine learning strategies for potential development in highly concentrated/high-entropy driven Ni-based Superalloys
ORAL
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Presenters
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Marium Mostafiz Mou
Missouri State University
Authors
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Marium Mostafiz Mou
Missouri State University
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Tyler J McGilvry-James
Missouri State University
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Ridwan Sakidja
Missouri State University, Physics, Astronomy and Materials Science, Missouri State University
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