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Deep Learning for Spectroscopy

FOCUS · Y61 · ID: 381695

Presentations

  • Latent space interpretation of X-ray absorption fine structure spectra by an autoencoder approach

    ORAL

    –

    Presenters

    • Yang Liu

      Materials Science and Chemical Engineering, Stony Brook University, material science and chemical engineering, Stony Brook University

    Authors

    • Yang Liu

      Materials Science and Chemical Engineering, Stony Brook University, material science and chemical engineering, Stony Brook University

    • Prahlad Routh

      material science and chemical engineering, Stony Brook University

    • Nicholas Marcella

      Materials Science and Chemical Engineering, Stony Brook University, material science and chemical engineering, Stony Brook University, Stony Brook University

    • Anatoly Frenkel

      Materials Science and Chemical Engineering, Stony Brook University, Stony Brook University

    View abstract →

  • Probabilistic generative models for latent representation learning of X-ray absorption fine structure (XAFS) spectra

    ORAL

    –

    Presenters

    • Prahlad K. Routh

      Materials Science and Chemical Engineering, Stony Brook University

    Authors

    • Prahlad K. Routh

      Materials Science and Chemical Engineering, Stony Brook University

    • Yang Liu

      Materials Science and Chemical Engineering, Stony Brook University, material science and chemical engineering, Stony Brook University

    • Nicholas Marcella

      Materials Science and Chemical Engineering, Stony Brook University, material science and chemical engineering, Stony Brook University, Stony Brook University

    • Anatoly Frenkel

      Materials Science and Chemical Engineering, Stony Brook University, Stony Brook University

    View abstract →

  • Mapping Atomic Structures and X-ray Absorption Spectra using First Principles Computations and Machine Learning

    ORAL

    –

    Presenters

    • Arun Kumar Mannodi Kanakkithodi

      Center for Nanoscale Materials, Argonne National Laboratory

    Authors

    • Arun Kumar Mannodi Kanakkithodi

      Center for Nanoscale Materials, Argonne National Laboratory

    • Justin Pothoof

      University of Washington

    • Amy Stegmann

      University of Washington

    • Xinyue Wang

      University of Washington

    • Yu-Hsuan Hsiao

      University of Washington

    • Srisuda Rojsatien

      School of Electrical, Computer and Energy Engineering, Arizona State University

    • Yiming Chen

      University of California, San Diego, Department of NanoEngineering, University of California San Diego

    • Mariana Bertoni

      School of Electrical, Computer and Energy Engineering, Arizona State University, Arizona State University

    • Maria Chan

      Argonne National Laboratory, Center for Nanoscale Materials, Argonne National Laboratory, Materials Research Center, Northwestern University

    View abstract →

  • Generation of Synthetic XPS spectra for Neural Network Quantification of RHEED Data of Complex Oxides

    ORAL

    –

    Presenters

    • Michael Demos

      Dept. of Physics, Auburn, AL 36849, Auburn University

    Authors

    • Michael Demos

      Dept. of Physics, Auburn, AL 36849, Auburn University

    • Sydney Provence

      Dept. of Physics, Auburn, AL 36849, Auburn University, Auburn University

    • Rajendra Paudel

      Dept. of Physics, Auburn, AL 36849, Auburn University, Auburn University

    • Ryan B Comes

      Dept. of Physics, Auburn, AL 36849, Auburn University, Auburn University

    • Giovanni Drera

      I-LAMP and Dipartimento di Matematica e Fisica, Università Cattolica del Sacro Cuore, Brescia I-25121, Italy

    View abstract →

  • Big data spectromicroscopy: achieving new observables in ARPES from 2D surface maps

    ORAL

    –

    Presenters

    • Erica Kotta

      Department of Physics, New York University, New York, NY, USA, New York Univ NYU

    Authors

    • Erica Kotta

      Department of Physics, New York University, New York, NY, USA, New York Univ NYU

    • Lin Miao

      Department of Physics, New York University, New York, NY, USA, Southeast University

    • Yishuai Xu

      Department of Physics, New York University, New York, NY, USA, New York Univ NYU

    • Stanley A Breitweiser

      Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA, University of Pennsylvania

    • Chris Jozwiak

      Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, Lawrence Berkeley National Laboratory, Advanced Light Source, Lawrence Berkeley National Laboratory, Advanced Light Source, Advanced Light Source, Lawrence Berkeley National Lab

    • Aaron Bostwick

      Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, Advanced Light Source, Lawrence Berkeley National Laboratory, Advanced Light Source, Advanced Light Source, Lawrence Berkeley National Lab

    • Eli Rotenberg

      Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Lab, Advanced Light Source, Advanced Light Source, Lawrence Berkeley National Laboratory, Advanced Light Source, Advanced Light Source, Lawrence Berkeley National Lab, LBNL

    • Wenhan Zhang

      Rutgers Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, USA

    • Weida Wu

      Rutgers Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, USA, Department of Physics and Astronomy, Rutgers, The State University of New Jersey, Rutgers University, Department of Physics and Astronomy, Rutgers University

    • Takehito Suzuki

      Massachusetts Institute of Technology, Department of Physics, Cambridge, MA, USA, Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology

    • Joseph Checkelsky

      Massachusetts Institute of Technology, Department of Physics, Cambridge, MA, USA, Massachusetts Institute of Technology MIT, Department of Physics, Massachusetts Institute of Technology, Massachusetts Institute of Technology, Physics, Massachusetts Institute of Technology

    • Lewis Wray

      Department of Physics, New York University, New York, NY, USA, New York Univ NYU

    View abstract →

  • AI assisted analysis of x-ray spectra

    Invited

    –

    Presenters

    • Santosh Suram

      Toyota Research Institute

    Authors

    • Santosh Suram

      Toyota Research Institute

    • Steven Torrisi

      Department of Physics, Harvard University, Physics, Harvard University, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Harvard University

    • Linda Hung

      Toyota Research Institute

    • Matthew R Carbone

      Department of Chemistry, Columbia University, Columbia University

    • John Gregoire

      California Institute of Technology

    • Carla Gomes

      Cornell University

    • Junko Yano

      Lawrence Berkeley National Laboratory

    View abstract →

  • Machine-learning assisted identification of atomic properties from X-ray spectroscopy

    ORAL

    –

    Presenters

    • Yiming Chen

      University of California, San Diego, Department of NanoEngineering, University of California San Diego

    Authors

    • Yiming Chen

      University of California, San Diego, Department of NanoEngineering, University of California San Diego

    • Chi Chen

      University of California, San Diego

    • Chengjun Sun

      Argonne National Laboratory

    • Steve Heald

      Argonne National Laboratory

    • Maria Chan

      Argonne National Laboratory, Center for Nanoscale Materials, Argonne National Laboratory, Materials Research Center, Northwestern University

    • Shyue Ping Ong

      University of California, San Diego

    View abstract →