Deep Learning for Spectroscopy
FOCUS · Y61 · ID: 381695
Presentations
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Paraphrasing Francis Crick: If you want to understand structure, study spectrum
Invited
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Presenters
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Anatoly Frenkel
- Materials Science and Chemical Engineering, Stony Brook University
- Stony Brook University
Authors
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Anatoly Frenkel
- Materials Science and Chemical Engineering, Stony Brook University
- Stony Brook University
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Latent space interpretation of X-ray absorption fine structure spectra by an autoencoder approach
ORAL
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Presenters
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Yang Liu
- Materials Science and Chemical Engineering, Stony Brook University
- material science and chemical engineering, Stony Brook University
Authors
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Yang Liu
- Materials Science and Chemical Engineering, Stony Brook University
- material science and chemical engineering, Stony Brook University
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Prahlad Routh
- material science and chemical engineering, Stony Brook University
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Nicholas Marcella
- Materials Science and Chemical Engineering, Stony Brook University
- material science and chemical engineering, Stony Brook University
- Stony Brook University
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Anatoly Frenkel
- Materials Science and Chemical Engineering, Stony Brook University
- Stony Brook University
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Probabilistic generative models for latent representation learning of X-ray absorption fine structure (XAFS) spectra
ORAL
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Presenters
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Prahlad K. Routh
- Materials Science and Chemical Engineering, Stony Brook University
Authors
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Prahlad K. Routh
- Materials Science and Chemical Engineering, Stony Brook University
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Yang Liu
- Materials Science and Chemical Engineering, Stony Brook University
- material science and chemical engineering, Stony Brook University
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Nicholas Marcella
- Materials Science and Chemical Engineering, Stony Brook University
- material science and chemical engineering, Stony Brook University
- Stony Brook University
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Anatoly Frenkel
- Materials Science and Chemical Engineering, Stony Brook University
- Stony Brook University
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Mapping Atomic Structures and X-ray Absorption Spectra using First Principles Computations and Machine Learning
ORAL
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Presenters
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Arun Kumar Mannodi Kanakkithodi
- Center for Nanoscale Materials, Argonne National Laboratory
Authors
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Arun Kumar Mannodi Kanakkithodi
- Center for Nanoscale Materials, Argonne National Laboratory
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Justin Pothoof
- University of Washington
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Amy Stegmann
- University of Washington
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Xinyue Wang
- University of Washington
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Yu-Hsuan Hsiao
- University of Washington
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Srisuda Rojsatien
- School of Electrical, Computer and Energy Engineering, Arizona State University
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Yiming Chen
- University of California, San Diego
- Department of NanoEngineering, University of California San Diego
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Mariana Bertoni
- School of Electrical, Computer and Energy Engineering, Arizona State University
- Arizona State University
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Maria Chan
- Argonne National Laboratory
- Center for Nanoscale Materials, Argonne National Laboratory
- Materials Research Center, Northwestern University
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Revealing the correlated phonon properties in Raman spectra of graphene using machine learning
ORAL
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Presenters
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Zhuofa Chen
- Department of Electrical and Computer Engineering, Boston University
- Boston University
Authors
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Zhuofa Chen
- Department of Electrical and Computer Engineering, Boston University
- Boston University
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Anna K Swan
- Department of Electrical and Computer Engineering, Boston University
- Boston University
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Generation of Synthetic XPS spectra for Neural Network Quantification of RHEED Data of Complex Oxides
ORAL
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Presenters
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Michael Demos
- Dept. of Physics, Auburn, AL 36849, Auburn University
Authors
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Michael Demos
- Dept. of Physics, Auburn, AL 36849, Auburn University
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Sydney Provence
- Dept. of Physics, Auburn, AL 36849, Auburn University
- Auburn University
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Rajendra Paudel
- Dept. of Physics, Auburn, AL 36849, Auburn University
- Auburn University
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Ryan B Comes
- Dept. of Physics, Auburn, AL 36849, Auburn University
- Auburn University
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Giovanni Drera
- I-LAMP and Dipartimento di Matematica e Fisica, Università Cattolica del Sacro Cuore, Brescia I-25121, Italy
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Big data spectromicroscopy: achieving new observables in ARPES from 2D surface maps
ORAL
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Presenters
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Erica Kotta
- Department of Physics, New York University, New York, NY, USA
- New York Univ NYU
Authors
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Erica Kotta
- Department of Physics, New York University, New York, NY, USA
- New York Univ NYU
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Lin Miao
- Department of Physics, New York University, New York, NY, USA
- Southeast University
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Yishuai Xu
- Department of Physics, New York University, New York, NY, USA
- New York Univ NYU
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Stanley A Breitweiser
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
- University of Pennsylvania
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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
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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
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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
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Wenhan Zhang
- Rutgers Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, USA
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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
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Takehito Suzuki
- Massachusetts Institute of Technology, Department of Physics, Cambridge, MA, USA
- Massachusetts Institute of Technology MIT
- Massachusetts Institute of Technology
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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
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Lewis Wray
- Department of Physics, New York University, New York, NY, USA
- New York Univ NYU
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AI assisted analysis of x-ray spectra
Invited
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Presenters
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Santosh Suram
- Toyota Research Institute
Authors
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Santosh Suram
- Toyota Research Institute
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Steven Torrisi
- Department of Physics, Harvard University
- Physics, Harvard University
- John A. Paulson School of Engineering and Applied Sciences, Harvard University
- Harvard University
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Linda Hung
- Toyota Research Institute
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Matthew R Carbone
- Department of Chemistry, Columbia University
- Columbia University
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John Gregoire
- California Institute of Technology
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Carla Gomes
- Cornell University
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Junko Yano
- Lawrence Berkeley National Laboratory
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Machine-learning assisted identification of atomic properties from X-ray spectroscopy
ORAL
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Presenters
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Yiming Chen
- University of California, San Diego
- Department of NanoEngineering, University of California San Diego
Authors
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Yiming Chen
- University of California, San Diego
- Department of NanoEngineering, University of California San Diego
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Chi Chen
- University of California, San Diego
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Chengjun Sun
- Argonne National Laboratory
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Steve Heald
- Argonne National Laboratory
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Maria Chan
- Argonne National Laboratory
- Center for Nanoscale Materials, Argonne National Laboratory
- Materials Research Center, Northwestern University
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Shyue Ping Ong
- University of California, San Diego
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Machine-Learning X-Ray Absorption Spectra to Quantitative Accuracy
ORAL
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Presenters
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Deyu Lu
- Brookhaven National Laboratory
Authors
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Deyu Lu
- Brookhaven National Laboratory
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Matthew R Carbone
- Department of Chemistry, Columbia University
- Columbia University
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Mehmet Topsakal
- Brookhaven National Laboratory
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Shinjae Yoo
- Brookhaven National Laboratory
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Predicting Density Functional Theory-Quality Nuclear Magnetic Resonance Chemical Shifts via Δ-Machine Learning
ORAL
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Presenters
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Pablo Unzueta
- University of California, Riverside
Authors
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Pablo Unzueta
- University of California, Riverside
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Chandler Greenwell
- University of California, Riverside
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Gregory Beran
- University of California, Riverside
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