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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