Data Science II: Machine Learning

Presentations

• Addressing the Elephant in the Room: Uncertainties in Physical Predictions From Machine-Learned Force Fields

  ORAL

  March 3, 2020, 11:15 AM – March 3, 2020, 11:27 AM

  Presenters

  • Stefan Chmiela

    • Tech Univ Berlin
    • Machine Learning Group, Technische Universität Berlin

  Authors

  • Stefan Chmiela

    • Tech Univ Berlin
    • Machine Learning Group, Technische Universität Berlin

  • Huziel Sauceda

    • Tech Univ Berlin
    • Machine Learning Group, Technische Universität Berlin

  • Klaus-Robert Müller

    • Tech Univ Berlin
    • Machine Learning Group, Technische Universität Berlin

  • Alexandre Tkatchenko

    • Physics and Materials Science Reasearch Unit, University of Luxembourg
    • Physics and Materials Science Research Unit, University of Luxembourg
    • University of Luxembourg
    • University of Luxembourg Limpertsberg

  View abstract →

• Understanding key challenges in digitizing and contextualizing experimental results

  ORAL

  March 3, 2020, 11:27 AM – March 3, 2020, 11:39 AM

  Presenters

  • Ha-Kyung Kwon

    • Toyota Research Institute

  Authors

  • Ha-Kyung Kwon

    • Toyota Research Institute

  • Chirranjeevi Gopal

    • Toyota Research Institute

  • Brian D Storey

    • Toyota Research Institute

  • Santiago Caicedo

    • EPAM-Continuum

  • Jared Kirschner

    • EPAM-Continuum

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• Using Machine Learning to Reduce Low-Q Disorder in Quasiparticle Interference Maps

  ORAL

  March 3, 2020, 11:39 AM – March 3, 2020, 11:51 AM

  Presenters

  • Aidan Witeck

    • Physics, Harvard University

  Authors

  • Aidan Witeck

    • Physics, Harvard University

  • Yu Liu

    • Harvard University
    • Department of Physics, Harvard University
    • Physics, Harvard University

  • Jennifer E. Hoffman

    • Harvard University
    • Physics, Harvard University
    • Department of Physics, Harvard University

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• CdTe nanoparticles as temperature sensors via machine learning of optical properties

  ORAL

  March 3, 2020, 11:51 AM – March 3, 2020, 12:03 PM

  Presenters

  • John Colton

    • Brigham Young Univ - Provo

  Authors

  • John Colton

    • Brigham Young Univ - Provo

  • James W Erikson

    • Brigham Young Univ - Provo

  • Charles Lewis

    • Brigham Young Univ - Provo

  • Carrie E McClure

    • Brigham Young Univ - Provo

  • Derek Sanchez

    • Brigham Young Univ - Provo

  • Troy Munro

    • Brigham Young Univ - Provo

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• Machine Learning X-ray Spectra: Theoretical Training for Experimental Predictions

  ORAL

  March 3, 2020, 12:03 PM – March 3, 2020, 12:15 PM

  Presenters

  • Nicholas Marcella

    • Stony Brook University
    • State Univ of NY - Stony Brook

  Authors

  • Nicholas Marcella

    • Stony Brook University
    • State Univ of NY - Stony Brook

  • Anatoly I Frenkel

    • Stony Brook University
    • State Univ of NY - Stony Brook

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• Machine learning on the electron-phonon spectral function and the superconductor gap function

  ORAL

  March 3, 2020, 12:15 PM – March 3, 2020, 12:27 PM

  Presenters

  • Ming-Chien Hsu

    • Physics, Natl Sun Yat Sen Univ

  Authors

  • Ming-Chien Hsu

    • Physics, Natl Sun Yat Sen Univ

  • Wan-Ju Li

    • Physics, Natl Sun Yat Sen Univ

  • Ting-Kuo Lee

    • Department of Physics, National Sun Yat-sen University, Kaohsiung, Taiwan
    • Natl Sun Yat Sen Univ
    • Physics, Natl Sun Yat Sen Univ

  • Shin-Ming Huang

    • National Sun Yat-sen University
    • Natl Sun Yat Sen Univ
    • Physics, Natl Sun Yat Sen Univ
    • National Sun Yat-Sen University

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• Characteristic space of XRD patterns in machine-learning

  ORAL

  March 3, 2020, 12:27 PM – March 3, 2020, 12:39 PM

  Presenters

  • Keishu Uchimura

    • School of Materials Science, JAIST
    • Japan Adv Inst of Sci and Tech

  Authors

  • Keishu Uchimura

    • School of Materials Science, JAIST
    • Japan Adv Inst of Sci and Tech

  • Masao Yano

    • TOYOTA MOTOR CORPORATION

  • Hiroyuki Kimoto

    • TOYOTA MOTOR CORPORATION

  • Kenta Hongo

    • Research Center for Advanced Computing Infrastructure, JAIST
    • Japan Adv Inst of Sci and Tech

  • Ryo Maezono

    • School of Information Science, JAIST
    • JAIST (Japan Advanced Institute of Science and Technology)
    • Japan Adv Inst of Sci and Tech

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• Using machine learning to understand mutations

  ORAL

  March 3, 2020, 12:39 PM – March 3, 2020, 12:51 PM

  Presenters

  • Martha Villagran

    • Univ of Houston

  Authors

  • Martha Villagran

    • Univ of Houston

  • Nikolaos Mitsakos

    • Univ of Houston

  • John Miller

    • Univ of Houston

  • Ricardo Azevedo

    • Univ of Houston

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• Machine Learning of Energetic Material Properties and Performance

  ORAL

  March 3, 2020, 12:51 PM – March 3, 2020, 1:03 PM

  Presenters

  • Brian Barnes

    • Army Research Laboratory
    • Detonation Science and Modeling Branch, CCDC Army Research Laboratory
    • CCDC Army Research Laboratory
    • US Army Rsch Lab - Aberdeen

  Authors

  • Brian Barnes

    • Army Research Laboratory
    • Detonation Science and Modeling Branch, CCDC Army Research Laboratory
    • CCDC Army Research Laboratory
    • US Army Rsch Lab - Aberdeen

  • Betsy M Rice

    • CCDC Army Research Laboratory

  • Andrew E Sifain

    • CCDC Army Research Laboratory

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• Simulation of atmospheric turbulence with generative machine learning models

  ORAL

  March 3, 2020, 1:03 PM – March 3, 2020, 1:15 PM

  Presenters

  • Arturo Rodriguez

    • University of Texas, El Paso

  Authors

  • Arturo Rodriguez

    • University of Texas, El Paso

  • Carlos R Cuellar

    • University of Texas, El Paso

  • Luis Fernando Rodriguez

    • University of Texas, El Paso

  • Armando Garcia

    • University of Texas, El Paso

  • Jose Terrazas

    • University of Texas, El Paso

  • VM Krushnarao Kotteda

    • The University of Wyoming

  • Rao Gudimetla

    • Air Force Research Laboratory
    • Air Force Research Lab

  • Vinod Kumar

    • University of Texas, El Paso

  • Jorge Munoz

    • University of Texas, El Paso

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• Identification of informative acoustic features in the transition from non-violent to violent crowd behavior

  ORAL

  March 3, 2020, 1:15 PM – March 3, 2020, 1:27 PM

  Presenters

  • Katrina Pedersen

    • Brigham Young Univ - Provo

  Authors

  • Katrina Pedersen

    • Brigham Young Univ - Provo

  • Brooks A Butler

    • Brigham Young Univ - Provo

  • Sean Warnick

    • Brigham Young Univ - Provo

  • Kent L Gee

    • Brigham Young Univ - Provo

  • Mark Transtrum

    • Brigham Young Univ - Provo
    • Physics & Astronomy, Brigham Young University
    • Brigham Young University
    • Physics and Astronomy, Brigham Young University

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• "Robust Speaker Identification System Under Adverse Conditions"

  ORAL

  March 3, 2020, 1:27 PM – March 3, 2020, 1:39 PM

  Presenters

  • Swati Prasad

    • Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

  Authors

  • Swati Prasad

    • Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

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• Hyperbolic non-metric multidimensional scaling reveals intrinsic geometric structure in high-dimensional data

  ORAL

  March 3, 2020, 1:39 PM – March 3, 2020, 1:51 PM

  Presenters

  • Yuansheng Zhou

    • University of California, San Diego

  Authors

  • Yuansheng Zhou

    • University of California, San Diego

  • Tatyana Olegivna Sharpee

    • Salk Inst
    • Salk Institute for Biological Studies
    • Salk Institute

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• Data Augmentation and Pre-training for Template-Based Retrosynthetic Prediction

  ORAL

  March 3, 2020, 1:51 PM – March 3, 2020, 2:03 PM

  Presenters

  • Mike Fortunato

    • Department of Chemical Engineering, Massachusetts Institute of Technology

  Authors

  • Mike Fortunato

    • Department of Chemical Engineering, Massachusetts Institute of Technology

  • Connor Coley

    • Department of Chemical Engineering, Massachusetts Institute of Technology

  • Brian Barnes

    • Army Research Laboratory
    • Detonation Science and Modeling Branch, CCDC Army Research Laboratory
    • CCDC Army Research Laboratory
    • US Army Rsch Lab - Aberdeen

  • Klavs Jensen

    • Department of Chemical Engineering, Massachusetts Institute of Technology

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• Neural network-assisted analysis of X-ray absorption spectra of metal oxide clusters

  ORAL

  March 3, 2020, 2:03 PM – March 3, 2020, 2:15 PM

  Presenters

  • Yang Liu

    • Stony Brook University

  Authors

  • Yang Liu

    • Stony Brook University

  • Nicholas Marcella

    • Stony Brook University
    • State Univ of NY - Stony Brook

  • Anatoly I Frenkel

    • Stony Brook University
    • State Univ of NY - Stony Brook

  View abstract →