Computational Materials Design - Machine Learning
FOCUS · R12 ·
Presentations
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Extensive deep neural networks for 2d materials
ORAL
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Presenters
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Isaac Tamblyn
- National Research Council of Canada
Authors
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Iryna Luchak
- University of British Columbia
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Kyle Mills
- University of Ontario
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Kevin Ryczko
- University of Ottawa
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Adam Domurad
- University of Waterloo
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Christopher Beeler
- University of Ontario
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Isaac Tamblyn
- National Research Council of Canada
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What can one learn about material structure given a single first-principles calculation?
ORAL
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Presenters
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Sinisa Coh
- Materials Science and Engineering, Univ of California - Riverside
Authors
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Sinisa Coh
- Materials Science and Engineering, Univ of California - Riverside
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Nicholas Rajen
- Materials Science and Engineering, Univ of California - Riverside
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Utilizing Convolutional Neural Networks to Predict Properties of Inorganic Compounds
ORAL
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Presenters
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Cheol Woo Park
- Materials Science and Engineering, Northwestern Univ
Authors
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Cheol Woo Park
- Materials Science and Engineering, Northwestern Univ
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Christopher Wolverton
- Materials Science and Engineering, Northwestern University
- Materials Science & Engineering, Northwestern University
- Northwestern Univ
- Northwestern University
- Materials Science and Engineering, Northwestern Univ
- Department of Materials Science and Engineering, Northwestern University
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Machine Learning and Materials Discovery
Invited
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Presenters
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Gus Hart
- Brigham Young Univ - Provo
- Brigham Young University
- Physics and Astronomy, Brigham Young University
Authors
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Gus Hart
- Brigham Young Univ - Provo
- Brigham Young University
- Physics and Astronomy, Brigham Young University
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Accelerated Discovery of Quaternary Heusler with High-Throughput Density Functional Theory and Machine Learning
ORAL
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Presenters
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Kyoungdoc Kim
- Northwestern University
Authors
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Kyoungdoc Kim
- Northwestern University
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Logan Ward
- University of Chicago
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Jiangang He
- Northwestern Univ
- Northwestern University
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Amar Krishna
- Northwestern University
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Ankit Agrawal
- Northwestern University
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Peter Voorhees
- Northwestern University
- Materials Science and Engineering, Northwestern University
- Department of Materials Science and Engineering, Northwestern University
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Christopher Wolverton
- Materials Science and Engineering, Northwestern University
- Materials Science & Engineering, Northwestern University
- Northwestern Univ
- Northwestern University
- Materials Science and Engineering, Northwestern Univ
- Department of Materials Science and Engineering, Northwestern University
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Statistical Learning of Kinetic Monte Carlo Models of Complex Chemistry from Molecular Dynamics
ORAL
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Presenters
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Qian Yang
- Stanford Univ
Authors
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Qian Yang
- Stanford Univ
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Enze Chen
- Stanford Univ
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Muralikrishna Raju
- Stanford Univ
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Evan Reed
- Stanford University
- Stanford Univ
- Materials Sciences and Engineering, Stanford
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<i>In Situ</i> Multiobjective Genetic-Algorithm Workflow for Training and Uncertainty Quantification of Reactive Molecular-Dynamics Force Fields
ORAL
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Presenters
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Ankit Mishra
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
Authors
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Ankit Mishra
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
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Sungwook Hong
- Univ of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
- University of Southern California
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Pankaj Rajak
- Univ of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
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Chunyang Sheng
- Univ of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
- University of Southern California
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Kenichi Nomura
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
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Rajiv Kalia
- Univ of Southern California
- Physics & Astronomy, University of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
- Collaboratory of Advanced Computing and Simulations, Univ of Southern California
- Collaboratory for Advanced Computing and Simulations, University of Southern California
- Physics, University of Southern California
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Aiichiro Nakano
- Univ of Southern California
- Physics & Astronomy, University of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
- Collaboratory of Advanced Computing and Simulations, Univ of Southern California
- Physics, University of Southern California
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Priya Vashishta
- Univ of Southern California
- Physics & Astronomy, University of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
- Collaboratory of Advanced Computing and Simulations, Univ of Southern California
- Collaboratory for Advanced Computing and Simulations, University of Southern California
- Physics, University of Southern California
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3D Scattering Transform Representation of Materials: From Molecules to Crystals
ORAL
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Presenters
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Andrew Nguyen
- Brigham Young University, Medic, Nguyen R&D LLC
Authors
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Andrew Nguyen
- Brigham Young University, Medic, Nguyen R&D LLC
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Chandramouli Nyshadham
- Brigham Young University
- Physics and Astronomy, Brigham Young University
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Conrad Rosenbrock
- Brigham Young University, Tracy
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Gus Hart
- Brigham Young Univ - Provo
- Brigham Young University
- Physics and Astronomy, Brigham Young University
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Determining Nanoscale Structures from Pair Distribution Function and Density Functional Theory via Multi-Objective Optimization
ORAL
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Presenters
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Spencer Hills
- Argonne National Lab
- Argonne National Laboratory
Authors
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Spencer Hills
- Argonne National Lab
- Argonne National Laboratory
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Fatih Sen
- Argonne National Lab
- Argonne National Laboratory
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Alper Kinaci
- Northwestern University
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Maria Chan
- Argonne Natl Lab
- Argonne National Lab
- Argonne National Laboratory
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GAtor: A First Principles Genetic Algorithm for Molecular Crystal Structure Prediction
ORAL
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Presenters
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Noa Marom
- Materials Science and Engineering, Carnegie Mellon University
- Carnegie Mellon Univ
Authors
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Farren Curtis
- Materials Science and Engineering, Carnegie Mellon University
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Xiayue Li
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Timothy Rose
- Materials Science and Engineering, Carnegie Mellon University
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Alvaro Vazquez-Mayagoitia
- ALCF, Argonne National Laboratory
- Argonne Leadership Computing Facility, Argonne National Laboratory
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Saswata Bhattacharya
- Department of Physics, IIT-Delhi
- Physics, Indian Institute of Technology, Delhi
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Luca Ghiringhelli
- Fritz Haber Institute of the Max Planck Society
- Theory, Fritz Haber Institute of the Max Planck Society
- Theory , Fritz-Haber Institute
- Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin-Dahlem, Germany
- Fritz-Haber-Institut der Max-Planck-Gesellschaft
- Theory Department, Fritz Haber Institute
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Noa Marom
- Materials Science and Engineering, Carnegie Mellon University
- Carnegie Mellon Univ
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Bayesian optimization of layered transition metal dichalcogenide hetero-structures
ORAL
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Presenters
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Pankaj Rajak
- Univ of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
Authors
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Pankaj Rajak
- Univ of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
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Lindsay Bassman
- University of Southern California
- Physics, University of Southern California
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Aiichiro Nakano
- Univ of Southern California
- Physics & Astronomy, University of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
- Collaboratory of Advanced Computing and Simulations, Univ of Southern California
- Physics, University of Southern California
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Rajiv Kalia
- Univ of Southern California
- Physics & Astronomy, University of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
- Collaboratory of Advanced Computing and Simulations, Univ of Southern California
- Collaboratory for Advanced Computing and Simulations, University of Southern California
- Physics, University of Southern California
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Priya Vashishta
- Univ of Southern California
- Physics & Astronomy, University of Southern California
- University of Southern California
- Mork Family Department of Chemical Engineering and Materials Science, Univ of Southern California
- Collaboratory of Advanced Computing and Simulations, Univ of Southern California
- Collaboratory for Advanced Computing and Simulations, University of Southern California
- Physics, University of Southern California
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Fei Sha
- University of Southern California
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David Singh
- Univ of Missouri - Columbia
- Physics and Astronomy, Univ of Missouri - Columbia
- University of Missouri
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Genetic Algorithms and DFT in the Search for Novel Stable and Metastable Crystal Structures of the Uranium Oxides
ORAL
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Presenters
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Ashley Shields
- Oak Ridge National Laboratory
Authors
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Ashley Shields
- Oak Ridge National Laboratory
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Andrew Miskowiec
- Oak Ridge National Lab
- Oak Ridge National Laboratory
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Brian Anderson
- Oak Ridge National Laboratory
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Prediction of novel metallic carbon and silicon allotropes using an inverse material design method
ORAL
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Presenters
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Ha-Jun Sung
- Korea Adv Inst of Sci & Tech
Authors
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Ha-Jun Sung
- Korea Adv Inst of Sci & Tech
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Sunghyun Kim
- Department of Materials, Imperial College London
- Imperial College London
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Woo Hyun Han
- Department of Physics, Korea Adv Inst of Sci & Tech
- Korea Adv Inst of Sci & Tech
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In-Ho Lee
- Center for Materials Genome, Korea Research Institute of Standards and Science
- Korea Research Institute of Standards and Science
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Kee Joo Chang
- Department of Physics, Korea Adv Inst of Sci & Tech
- Korea Adv Inst of Sci & Tech
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