Data Science I: Big Data & ML

Presentations

• Information extraction, analysis and feedback for directing matter by design

  Invited

  March 3, 2020, 8:00 AM – March 3, 2020, 8:36 AM

  Presenters

  • Bobby Sumpter

    • Oak Ridge National Laboratory
    • Oak Ridge National Lab
    • Center for Nanophase Materials Sciences & Computational Sciences and Engineering Division, Oak Ridge National Laboratory

  Authors

  • Bobby Sumpter

    • Oak Ridge National Laboratory
    • Oak Ridge National Lab
    • Center for Nanophase Materials Sciences & Computational Sciences and Engineering Division, Oak Ridge National Laboratory

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• High throughput search for plasmonic semiconductors using DFT databases

  ORAL

  March 3, 2020, 8:36 AM – March 3, 2020, 8:48 AM

  Presenters

  • Ethan Shapera

    • Physics, University of Illinois at Urbana-Champaign

  Authors

  • Ethan Shapera

    • Physics, University of Illinois at Urbana-Champaign

  • Andre Schleife

    • University of Illinois Urbana-Champaign
    • Materials Science and Engineering, University of Illinois at Urbana-Champaign
    • University of Illinois at Urbana-Champaign

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• Combined High-Throughput and Machine Learning Approach for Prediction of Lattice Thermal Conductivity

  ORAL

  March 3, 2020, 8:48 AM – March 3, 2020, 9:00 AM

  Presenters

  • Abhishek Singh

    • Indian Institute of Science

  Authors

  • Rinkle Juneja

    • Indian Institute of Science

  • George Yumnam

    • Indian Institute of Science

  • Swanti Satsangi

    • Indian Institute of Science

  • Abhishek Singh

    • Indian Institute of Science

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• Machine Learning-Assisted Design and Discovery of Next Generation 2D Materials

  ORAL

  March 3, 2020, 9:00 AM – March 3, 2020, 9:12 AM

  Presenters

  • Victor Venturi

    • Carnegie Mellon Univ

  Authors

  • Victor Venturi

    • Carnegie Mellon Univ

  • Holden Low Parks

    • Carnegie Mellon Univ

  • Zeeshan Ahmad

    • Carnegie Mellon Univ

  • Venkat Viswanathan

    • Carnegie Mellon Univ

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• Revealing the Spectrum of Unknown Layered Materials with Super-Human Predictive Abilities

  ORAL

  March 3, 2020, 9:12 AM – March 3, 2020, 9:24 AM

  Presenters

  • Gowoon Cheon

    • Stanford University
    • Applied Physics, Stanford University

  Authors

  • Gowoon Cheon

    • Stanford University
    • Applied Physics, Stanford University

  • Ekin Dogus Cubuk

    • Google
    • Google Inc.
    • Google Inc
    • Google Brain

  • Evan Antoniuk

    • Stanford University
    • Chemistry, Stanford University

  • Joshua Goldberger

    • Ohio State Univ - Columbus
    • Ohio State University
    • Chemistry, The Ohio State University

  • Evan J. Reed

    • Stanford University
    • Materials Science and Engineering, Stanford University

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• Probing the microscopic origin of magnetism in two-dimensional materials using machine learning

  ORAL

  March 3, 2020, 9:24 AM – March 3, 2020, 9:36 AM

  Presenters

  • Trevor David Rhone

    • Harvard University
    • Physics, Rensselaer Polytechnic Institute

  Authors

  • Trevor David Rhone

    • Harvard University
    • Physics, Rensselaer Polytechnic Institute

  • Efthimios Kaxiras

    • Physics, Harvard University

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• Topological data analysis for magnetic domain structure characterization

  ORAL

  March 3, 2020, 9:36 AM – March 3, 2020, 9:48 AM

  Presenters

  • Masato Kotsugi

    • Sci Univ of Tokyo
    • Tokyo Univ of Science, Katsushika

  Authors

  • Masato Kotsugi

    • Sci Univ of Tokyo
    • Tokyo Univ of Science, Katsushika

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• Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

  ORAL

  March 3, 2020, 9:48 AM – March 3, 2020, 10:00 AM

  Presenters

  • Peter Lu

    • Physics, Massachusetts Institute of Technology
    • Department of Physics, Massachusetts Institute of Technology

  Authors

  • Peter Lu

    • Physics, Massachusetts Institute of Technology
    • Department of Physics, Massachusetts Institute of Technology

  • Samuel Kim

    • Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology

  • Marin Soljacic

    • Physics, Massachusetts Institute of Technology
    • Department of Physics, Massachusetts Institute of Technology

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• Prediction of Seismic Wave Arrivals Using a Convolutional Neural Network

  ORAL

  March 3, 2020, 10:00 AM – March 3, 2020, 10:12 AM

  Presenters

  • Jorge Garcia

    • Department of Physics, New Mexico State University

  Authors

  • Jorge Garcia

    • Department of Physics, New Mexico State University

  • Lauren Waszek

    • Department of Physics, New Mexico State University

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• Using Reinforcement Learning to Optimize Crystal Structure Determination

  ORAL

  March 3, 2020, 10:12 AM – March 3, 2020, 10:24 AM

  Presenters

  • William Ratcliff

    • National Institute of Standards and Technology

  Authors

  • William Ratcliff

    • National Institute of Standards and Technology

  • Kate Meuse

    • Montgomery Blair High School

  • Jessica Opsahl-Ong

    • Mclean High School

  • Joeseph Rath

    • Rowan University

  • Paul Kienzle

    • National Institute of Standards and Technology

  • Telon Yan

    • Montgomery Blair High School

  • Ryan Cho

    • Montgomery Blair High School

  • Abigail Wilson

    • Tufts University

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• Active Learning for Quantum Experimental Controling

  ORAL

  March 3, 2020, 10:24 AM – March 3, 2020, 10:36 AM

  Presenters

  • Yadong Wu

    • Tsinghua University

  Authors

  • Yadong Wu

    • Tsinghua University

  • Hui Zhai

    • Tsinghua University
    • Institute for Advanced Study, Tsinghua University

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• International Radiological Information Exchange (IRIX) Standards for Emergency Radiation Monitoring Data Reporting

  ORAL

  March 3, 2020, 10:36 AM – March 3, 2020, 10:48 AM

  Presenters

  • Sanjoy Mukhopadhyay

    • International Atomic Energy Agency

  Authors

  • Sanjoy Mukhopadhyay

    • International Atomic Energy Agency

  View abstract →