Machine Learning Material and Experimental Data
FOCUS · K18 ·
Presentations
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Machine learning interatomic potentials with and without (much) human labor
Invited
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Presenters
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Noam Bernstein
- Center for Computational Materials Science, US Naval Research Laboratory, Washington, DC 20375, USA
- United States Naval Research Laboratory
- Naval Research Laboratory
Authors
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Noam Bernstein
- Center for Computational Materials Science, US Naval Research Laboratory, Washington, DC 20375, USA
- United States Naval Research Laboratory
- Naval Research Laboratory
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Machine Learning for Ultrafast Electron Diffraction
Invited
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Presenters
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Aravind Krishnamoorthy
- University of Southern California
- Physics & Astronomy, University of Southern California
Authors
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Aravind Krishnamoorthy
- University of Southern California
- Physics & Astronomy, University of Southern California
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Prediction of Molecular Properties Using Graph Kernel and Active Learning
ORAL
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Presenters
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Yu-Hang Tang
- Lawrence Berkeley National Laboratory
Authors
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Yu-Hang Tang
- Lawrence Berkeley National Laboratory
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Wibe A De Jong
- Lawrence Berkeley National Laboratory
- Computational Research Division, Lawrence Berkeley National Laboratory
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Tree Tensor Networks for Generative Modeling
ORAL
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Presenters
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Song Cheng
- Institute of Physics
Authors
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Song Cheng
- Institute of Physics
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Tao Xiang
- Chinese Academy of Sciences (CAS), China
- Institute of Physics
- Institute of Physics, Chinese Academy of Sciences
- Institute of Physics, CAS
- Institute of Physics, Chinese Academy of Sciences, P.O. Box 603, Beijing 100190, China
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Lei Wang
- Institute of Physics
- Institute of Physics, Chinese Academy of Sciences
- Institute of Physics Chinese Academy of Sciences
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pan zhang
- institute of theoretical physics
- Institute of Theoretical Physics, Chinese Academy of Sciences
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Learning from the Density to Correct Total Energy and Forces in First Principle Simulations
ORAL
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Presenters
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Sebastian Dick
- Stony Brook University
Authors
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Sebastian Dick
- Stony Brook University
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Marivi Fernandez Serra
- Stony Brook University
- Department of Physics and Astronomy, Institute for Advance Computational Science, Stony Brook University
- Department of Physics and Astronomy, and Institute for Advanced Computational Science, Stony Brook University
- Department of Physics and Astronomy, Stony Brook Univerysity, U.S.A.
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Microscopic Particle Localization Under Low-Light Conditions
ORAL
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Presenters
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Shao Ran Huang
- Brown University
Authors
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Shao Ran Huang
- Brown University
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Rashid Zia
- Brown University
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Computational screening of experimental structural repositories for novel Li-ion conductors
ORAL
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Presenters
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Leonid Kahle
- Theory and Simulation of Materials, École Polytechnique Fédérale de Lausanne, Switzerland
Authors
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Leonid Kahle
- Theory and Simulation of Materials, École Polytechnique Fédérale de Lausanne, Switzerland
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Aris Marcolongo
- Cognitive Computing and Computational Sciences Department, IBM Research 8803 Zürich, Switzerland
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Nicola Marzari
- Materials Science & Engineering, École polytechnique fédérale de Lausanne
- Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne,
- Ecole polytechnique federale de Lausanne
- EPFL STI IMX THEOS, Ecole polytechnique federale de Lausanne
- Theory and Simulation of Materials (THEOS), École Polytechnique Fédérale de Lausanne
- THEOS, Ecole Polytechnique Federale de Lausanne
- Theory and Simulation of Materials, École Polytechnique Fédérale de Lausanne, Switzerland
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Insights on materials space
ORAL
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Presenters
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Chandramouli Nyshadham
- Brigham Young University
Authors
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Chandramouli Nyshadham
- Brigham Young University
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Kennedy lincoln
- Brigham Young University
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Gus Hart
- Brigham Young University
- Physics and Astronomy, Brigham Young University
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Quantum Criticality and Possible Superconductivity in Z<sub>n</sub> Anisotropic Quantum Rotor Model Coupled with Free Fermion
ORAL
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Presenters
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Jianqiao Liu
- School of Physics, Peking University
Authors
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Jianqiao Liu
- School of Physics, Peking University
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Ryuichi Shindou
- School of Physics, Peking University
- Peking University
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OMDB-GAP1: A new dataset for band gap predictions for large organic crystal structures
ORAL
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Presenters
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Bart Olsthoorn
- NORDITA
Authors
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Bart Olsthoorn
- NORDITA
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Richard Geilhufe
- NORDITA, Nordic Institute for Theoretical Physics, Stockholm University and KTH, Stockholm, Sweden
- Nordic Institute for Theoretical Physics, Stockholm University, KTH Royal Institute of Technology
- NORDITA
- Nordic Institute for Theoretical Physics, KTH Royal Institute of Technology, Stockholm University
- Nordic Institute for Theoretical Physics
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Stanislav Borysov
- Technical University of Denmark, DTU
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Alexander Balatsky
- Nordita
- Los Alamos National Laboratory
- Nordic Institute for Theoretical Physics, Stockholm
- Institute for Materials Science, Los Alamos National Laboratory
- NORDITA
- Nordic Institute for Theoretical Physics
- Los Alamos National Laboratory, Institute for Materials Science
- Institute for Material Science, Los Alamos National Laboratory
- Department of Physics, University of Connecticut, Storrs, CT 06269, USA
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Theory of band gaps in nano-porous SiC
ORAL
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Presenters
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Blair Tuttle
- Penn State Erie
Authors
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Blair Tuttle
- Penn State Erie
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Colton Barger
- Penn State Erie
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Andrew O'Hara
- Physics, Vanderbilt University
- Department of Physics and Astronomy, Vanderbilt University
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Sokrates T Pantelides
- Department of Physics and Astronomy, Vanderbilt University
- Vanderbilt University
- physics, Vanderbilt University
- Physics, Vanderbilt University
- Department of Physics and Astronomy and Department of Electrical Engineering and Computer Science, Vanderbilt University
- Dept. of Physics and Astronomy, Vanderbilt University, USA
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