Focus Session: Machine Learning Approaches to Ultrafast Science

Presentations

• Deep neural networks trained with synthetic Hamilton matrices for non-linear photo-ionization spectra from fluctuating pulses

  ORAL · Invited

  June 3, 2022, 8:00 AM – June 3, 2022, 8:30 AM

  Publication: [1] Giri et al., Phys. Rev. Lett., 2020, 124, 113201
  [2] Giri et al., Faraday Discuss. 2021, 228, 502

  Presenters

  • Jan-Michael M Rost

    • Max Planck Institute for the Physics of Complex Systems, Dresden
    • Max Planck Complex Systems

  Authors

  • Sajal K Giri

    • Northwestern University, USA

  • Ulf Saalmann

    • Max Planck Institute for the Physics of Complex Systems, Dresden

  • Jan-Michael M Rost

    • Max Planck Institute for the Physics of Complex Systems, Dresden
    • Max Planck Complex Systems

  View abstract →

• Bayesian inferencing and deterministic anisotropy for molecular geometry retrieval in gas phase diffraction experiments

  ORAL

  June 3, 2022, 8:30 AM – June 3, 2022, 8:42 AM

  Presenters

  • Kareem Hegazy

    • Stanford Univ
    • Stanford Univ; Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  Authors

  • Kareem Hegazy

    • Stanford Univ
    • Stanford Univ; Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  • Varun S Makhija

    • Univ of Mary Washington

  • Philip H Bucksbaum

    • Stanford Univ
    • Department of Applied Physics, Stanford University
    • Department of Physics, Stanford University; Department of Applied Physics, Stanford University; Stanford PULSE Institute, SLAC National Lab
    • Stanford University

  • Jeff Corbett

    • SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  • James P Cryan

    • SLAC National Lab
    • LCLS, SLAC National Accelerator Laboratory, Menlo Park, CA, USA
    • Stanford PULSE Institute, SLAC National Lab; LCLS, SLAC National Lab
    • SLAC National Accelerator Laboratory

  • Markus Guehr

    • Universität Potsdam
    • Institut fur Physik and Astronomie, Universitat Potsdam, Potsdam, 14476 Germany

  • Nick Hartmann

    • Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA

  • Markus Ilchen

    • Deutsches Elektronen-Synchrotron DESY
    • European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
    • DESY
    • Eu XFEL

  • Keith Jobe

    • SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  • Renkai Li

    • Department of Engineering Physics, Tsinghua University, Beijing 100084, China

  • Igor Makasyuk

    • SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  • Xiaozhe Shen

    • SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  • Theodore Vecchione

    • SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  • Xijie Wang

    • SLAC National Lab
    • SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  • Stephen Weathersby

    • SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  • Jie Yang

    • Tsinghua University
    • Department of Engineering Physics, Tsinghua University, Beijing 100084, China

  • Ryan Coffee

    • SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, USA

  View abstract →

• Few-fs resolution of a photoactive protein traversing a conical intersection

  ORAL · Invited

  June 3, 2022, 8:42 AM – June 3, 2022, 9:12 AM

  Publication: Few-fs resolution of a photoactive protein traversing a conical intersection, Hosseinizadeh et al., Nature 599, pages 697–701 (2021)

  Presenters

  • Abbas Ourmazd

    • University of Wisconsin - Milwaukee

  Authors

  • Abbas Ourmazd

    • University of Wisconsin - Milwaukee

  View abstract →

• Imaging a complex molecular structure with laser-induced electron diffraction and machine learning

  ORAL

  June 3, 2022, 9:12 AM – June 3, 2022, 9:24 AM

  Publication: X. Liu et al. "Machine learning for laser-induced electron diffraction imaging of molecular structures", Comm. Chem. 4, 154 (2021)

  Presenters

  • Katharina Chirvi

    • ICFO - Institut de Ciencies Fotoniques

  Authors

  • Xinyao Liu

    • ICFO - Institut de Ciencies Fotoniques

  • Kasra Amini

    • ICFO - Institut de Ciencies Fotoniques

  • Aurelien Sanchez

    • ICFO - Institut de Ciencies Fotoniques

  • Blanca Belsa

    • ICFO-Institut de Ciencies Fotoniques

  • Tobias Steinle

    • ICFO - Institut de Ciencies Fotoniques

  • Katharina Chirvi

    • ICFO - Institut de Ciencies Fotoniques

  • Jens Biegert

    • ICFO - Institut de Ciencies Fotoniques, ICREA
    • ICFO-The Institute of Photonic Sciences

  View abstract →

• Ghost-imaging enhanced SASE x-ray free-electron laser spectral characterization

  ORAL

  June 3, 2022, 9:24 AM – June 3, 2022, 9:36 AM

  Publication: [1] K. Li, J. Laksman, T. Mazza, G. Doumy, D. Koulentianos, A. Picchiotti, S. Serkez, N. Rohringer, M. Ilchen, M. Meyer, L. Young, arXiv:2110.10197

  Presenters

  • Kai Li

    • University of Chicago

  Authors

  • Kai Li

    • University of Chicago

  • Joakim Laksman

    • European XFEL

  • Tommaso Mazza

    • European XFEL
    • EuXFEL

  • Gilles Doumy

    • Argonne National Laboratory

  • Dimitris Koulentianos

    • Argonne National Laboratory

  • Alessandra Picchiotti

    • The Hamburg Centre for Ultrafast Imaging

  • Svitovar Serkez

    • European xfel

  • Nina R Rohringer

    • DESY

  • Markus Ilchen

    • Deutsches Elektronen-Synchrotron DESY
    • European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany
    • DESY
    • Eu XFEL

  • Michael Meyer

    • European XFEL
    • EuXFEL
    • Eu XFEL

  • Linda Young

    • Argonne National Laboratory
    • Argonne Nat'l Lab

  View abstract →

• Ultrafast Molecular Imaging Using 4-Fold Covariance: Coincidence Insight with Covariance Speed

  ORAL

  June 3, 2022, 9:36 AM – June 3, 2022, 9:48 AM

  Presenters

  • Chuan Cheng

    • Stony Brook University
    • Department of Physics and Astronomy, Stony Brook University

  Authors

  • Chuan Cheng

    • Stony Brook University
    • Department of Physics and Astronomy, Stony Brook University

  • Leszek J Frasinski

    • Imperial College London

  • Gönenç Moğol

    • Stony Brook University

  • Felix Allum

    • Stanford Univ
    • SLAC National Accelerator Laboratory
    • Stanford University
    • Stanford PULSE Institute, SLAC National Lab; LCLS, SLAC National Lab

  • Andrew J Howard

    • Stanford Univ
    • Department of Applied Physics, Stanford University

  • Philip H Bucksbaum

    • Stanford Univ
    • Department of Applied Physics, Stanford University
    • Department of Physics, Stanford University; Department of Applied Physics, Stanford University; Stanford PULSE Institute, SLAC National Lab
    • Stanford University

  • Mark Brouard

    • University of Oxford

  • Ruaridh Forbes

    • SLAC - Natl Accelerator Lab
    • Stanford PULSE Institute, SLAC National Accelerator Laboratory
    • Stanford PULSE Institute, SLAC National Lab; LCLS, SLAC National Lab; Department of Physics, Stanford University
    • SLAC National Accelerator Laboratory

  • Thomas Weinacht

    • Stony Brook University
    • Stony Brook
    • Department of Physics and Astronomy, Stony Brook University

  View abstract →