Emerging Trends in Molecular Dynamics Simulations and Machine Learning II
FOCUS · L45 · ID: 355243
Presentations
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Deep Learning for molecular simulation and spectra calculation
Invited
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Presenters
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Linfeng Zhang
Princeton University, Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544, USA
Authors
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Linfeng Zhang
Princeton University, Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544, USA
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Recurrent Neural Networks Based Integrators for Molecular Dynamics Simulations
ORAL
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Presenters
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JCS Kadupitiya
Intelligent Systems Engineering, Indiana University Bloomington, Intelligent Systems Engineering, Indiana Univ - Bloomington
Authors
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JCS Kadupitiya
Intelligent Systems Engineering, Indiana University Bloomington, Intelligent Systems Engineering, Indiana Univ - Bloomington
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Geoffrey C Fox
Intelligent Systems Engineering, Indiana University Bloomington
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Vikram Jadhao
Intelligent Systems Engineering, Indiana University Bloomington, Intelligent Systems Engineering, Indiana Univ - Bloomington, Indiana Univ - Bloomington, Intelligent Systems Engineering, Indiana University
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Computing RPA adsorption enthalpies by machine learning thermodynamic perturbation theory
ORAL
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Presenters
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Dario Rocca
LPCT, University of Lorraine & CNRS, Nancy (France), University of Lorraine, LPCT, UMR 7019, 54506 Vandœuvre-lès-Nancy, France
Authors
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Dario Rocca
LPCT, University of Lorraine & CNRS, Nancy (France), University of Lorraine, LPCT, UMR 7019, 54506 Vandœuvre-lès-Nancy, France
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Bilal Chehaibou
LPCT, University of Lorraine & CNRS, Nancy (France)
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Michael Badawi
LPCT, University of Lorraine & CNRS, Nancy (France)
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Tomas Bucko
Comenius University & Slovak Academy of Sciences, Bratislava (Slovakia)
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Timur Bazhirov
Exabyte Inc., San Francisco (USA), Exabyte Inc.
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Neural Network Potentials for Twisted Few-Layer Materials
ORAL
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Presenters
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Emine Kucukbenli
Harvard University
Authors
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Emine Kucukbenli
Harvard University
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Efthimios Kaxiras
Harvard University, Department of Physics, Harvard University
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Developement of reliable neural network potential for metal–semiconductor interface reaction: case study for Ni silicidation
ORAL
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Presenters
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Wonseok Jeong
Seoul National University, Seoul Natl Univ
Authors
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Wonseok Jeong
Seoul National University, Seoul Natl Univ
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Dongsun Yoo
Seoul National University, Seoul Natl Univ
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Kyuhyun Lee
Seoul National University, Seoul Natl Univ
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Seungwu Han
Seoul National University, Seoul Natl Univ
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Linearized machine learning potential with high-order rotational polynomial invariants for multi-component systems
ORAL
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Presenters
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Atsuto Seko
Kyoto Univ
Authors
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Atsuto Seko
Kyoto Univ
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Isao Tanaka
Kyoto Univ
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Transfer learning of neural network potentials for reactive chemistry
ORAL
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Presenters
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Jason Goodpaster
University of Minnesota, Chemistry, University of Minnesota
Authors
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Jason Goodpaster
University of Minnesota, Chemistry, University of Minnesota
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Insights about accelrated dynamics calculations of the acid <i>pK<sub>a</sub></i> beyond biasing the coordination number collective variable
ORAL
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Presenters
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Carlos Wexler
Univ of Missouri - Columbia, Physics, Univ of Missouri-Columbia
Authors
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Carlos Wexler
Univ of Missouri - Columbia, Physics, Univ of Missouri-Columbia
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Jiasen Guo
Univ of Missouri - Columbia
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Alberto Albesa
Univ Nacional de La Plata
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Multitask machine learning of collective variables for enhanced sampling of reactive molecular dynamics
ORAL
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Presenters
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Lixin Sun
Harvard University, School of Engineering and Applied Science, Harvard University
Authors
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Lixin Sun
Harvard University, School of Engineering and Applied Science, Harvard University
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Simon Batzner
Harvard University, School of Engineering and Applied Science, Harvard University
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Jonathan Vandermause
Harvard University, School of Engineering and Applied Science, Harvard University
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Yu Xie
Harvard University, School of Engineering and Applied Science, Harvard University
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Boris Kozinsky
Harvard University, School of Engineering and Applied Sciences, Harvard University, School of Engineering and Applied Science, Harvard University
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Exploring Cucurbituril-Fentanyl Binding (and Beyond) with Parallel Biasing Methods
ORAL
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Presenters
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Anne Leonhard
University of Notre Dame
Authors
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Anne Leonhard
University of Notre Dame
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Jonathan K. Whitmer
University of Notre Dame
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Neural Network Interatomic Potentials for Water
ORAL
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Presenters
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Alberto Torres
Instituto de Física Teórica, Universidade Estadual Paulista (UNESP)
Authors
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Alberto Torres
Instituto de Física Teórica, Universidade Estadual Paulista (UNESP)
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Luana Pedroza
Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, Univ Federal do ABC
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Alexandre R Rocha
Univ Estadual Paulista-UNESP, Instituto de Física Teórica, Universidade Estadual Paulista (UNESP), Universidade Estadual Paulista
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Anharmonicity in a linear chain of Lennard-Jones atoms
ORAL
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Presenters
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Adrian De La Rocha
University of Texas, El Paso
Authors
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Adrian De La Rocha
University of Texas, El Paso
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Jorge Munoz
University of Texas, El Paso
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Hunting FOX: Using Fragments to Sniff Out Drug Leads for Antibiotic Discovery
ORAL
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Presenters
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Rachael Mansbach
Los Alamos National Laboratory
Authors
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Rachael Mansbach
Los Alamos National Laboratory
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Inga V Leus
University of Oklahoma
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Jitender Mehla
University of Oklahoma
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Cesar A Lopez
Los Alamos National Laboratory
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John K Walker
Saint Louis University
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Valentin V Rybenkov
University of Oklahoma
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Nicolas W Hengartner
Los Alamos National Laboratory
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Helen I Zgurskaya
University of Oklahoma
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S Gnanakaran
Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos National Laboratory
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