Autonomous Systems

Presentations

• Domain-Aware Gaussian Processes and High-Performance Mathematical Optimization for Optimal Autonomous Data Acquisition

  ORAL · Invited

  March 17, 2022, 3:00 PM – March 17, 2022, 3:36 PM

  Publication: Marcus M Noack, Petrus H Zwart, Daniela M Ushizima, Masafumi Fukuto, Kevin G Yager,Katherine C Elbert, Christopher B Murray, Aaron Stein, Gregory S Doerk, Esther HRTsai, et al. Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities. Nature Reviews Physics, pages 1–13, 2021.
  
  Marcus M Noack and James A Sethian. Autonomous discovery in science and engineering.Technical report, USDOE Office of Science (SC)(United States), 2021.Marcus M Noack and James A Sethian. Advanced stationary and non-stationary kernel designs for domain-aware gaussian processes. arXiv preprint arXiv:2102.03432, 2021.
  
  Marcus M Noack, Gregory S Doerk, Ruipeng Li, Masafumi Fukuto, and Kevin G Yager. Advances in kriging-based autonomous x-ray scattering experiments.Scientific reports,10(1):1–17, 2020.
  
  Marcus M Noack, Gregory S Doerk, Ruipeng Li, Jason K Streit, Richard A Vaia, Kevin GYager, and Masafumi Fukuto. Autonomous materials discovery driven by gaussian process regression with inhomogeneous measurement noise and anisotropic kernels. Scientific reports, 10(1):1–16, 2020.

  Presenters

  • Marcus Noack

    • Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Lab

  Authors

  • Marcus Noack

    • Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Lab

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• Quantum compiling by deep reinforcement learning

  ORAL · Invited

  March 17, 2022, 3:36 PM – March 17, 2022, 4:12 PM

  Publication: L. Moro , M. Paris, M. Restelli, E. Prati, Quantum Compiling via Deep Reinforcement Learning, Communications Physics 4, 178 (2021) DOI: 10.1038/s42005-021-00684-3

  Presenters

  • Enrico Prati

    • Instito di Fotonica e Nanotechnologie

  Authors

  • Enrico Prati

    • Instito di Fotonica e Nanotechnologie

  • Matteo Paris

    • Università di Milano

  • Lorenzo Moro

    • Politecnico di Milano

  • Marcello Restelli

    • Politecnico di Milano

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• Dynamic Manipulation of Ferroelectric Structures via Automated Piezoresponse Force Microscopy

  ORAL · Invited

  March 17, 2022, 4:12 PM – March 17, 2022, 4:48 PM

  Presenters

  • Kyle Kelley

    • Oak Ridge National Laboratory
    • ornl
    • Oak Ridge National Lab

  Authors

  • Kyle Kelley

    • Oak Ridge National Laboratory
    • ornl
    • Oak Ridge National Lab

  • Yongtao Liu

    • Oak Ridge National Laboratory

  • Stephen Jesse

    • Oak Ridge National Laboratory
    • University of Tennessee

  • Rama K Vasudevan

    • Oak Ridge National Laboratory

  • Sergei V Kalinin

    • Oak Ridge National Lab
    • Center for Nanophase Materials Sciences, Oak Ridge National Laboratory
    • Oak Ridge National Laboratory

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• Active Learning-Driven Automated Scanning Probe Microscopy Enables Discovery of Structure-Property Relationship

  ORAL

  March 17, 2022, 4:48 PM – March 17, 2022, 5:00 PM

  Presenters

  • Yongtao Liu

    • Oak Ridge National Laboratory

  Authors

  • Yongtao Liu

    • Oak Ridge National Laboratory

  • Kyle Kelley

    • Oak Ridge National Laboratory
    • ornl
    • Oak Ridge National Lab

  • Rama K Vasudevan

    • Oak Ridge National Laboratory

  • Hiroshi Funakubo

    • Tokyo Institute of Technology

  • Susan E Trolier-Mckinstry

    • The Pennsylvania State University

  • Maxim Ziatdinov

    • Computational Sciences and Engineering Division, Oak Ridge National Laboratory
    • Oak Ridge National Laboratory
    • Oak Ridge National Lab

  • Sergei V Kalinin

    • Oak Ridge National Lab
    • Center for Nanophase Materials Sciences, Oak Ridge National Laboratory
    • Oak Ridge National Laboratory

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• Towards automating analysis of nonequilibrium X-ray Photon Correlation Spectroscopy with acquisition rate-limited time resolution

  ORAL

  March 17, 2022, 5:00 PM – March 17, 2022, 5:12 PM

  Presenters

  • Tatiana Konstantinova

    • Brookhaven National Laboratory

  Authors

  • Tatiana Konstantinova

    • Brookhaven National Laboratory

  • Lutz Wiegart

    • Brookhaven National Laboratory

  • Maksim Rakitin

    • Brookhaven National Laboratory

  • Anthony M DeGennaro

    • Brookhaven National Laboratory

  • Andi Barbour

    • NSLS-II, Brookhaven National Lab
    • Brookhaven National Laboratory
    • Brookhaven National Lab

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• Adaptive tuning of the latent space of encoder-decoder convolutional neural networks for virtual 6D diagnostics of time-varying charged particle beams

  ORAL

  March 17, 2022, 5:12 PM – March 17, 2022, 5:24 PM

  Publication: A. Scheinker. "Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning." arXiv preprint arXiv:2107.06207, 2021.
  A. Scheinker, et al. "An adaptive approach to machine learning for compact particle accelerators." Scientific Reports 11.1, 1-11, 2021.

  Presenters

  • Alexander Scheinker

    • Los Alamos Natl Lab

  Authors

  • Alexander Scheinker

    • Los Alamos Natl Lab

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• Autonomous anomaly detection in MeV ultrafast electron diffraction

  ORAL

  March 17, 2022, 5:24 PM – March 17, 2022, 5:36 PM

  Presenters

  • Mariana A Fazio

    • University of New Mexico

  Authors

  • Mariana A Fazio

    • University of New Mexico

  • Salvador Sosa Guitron

    • University of New Mexico

  • Destry Monk

    • University of New Mexico

  • Junjie Li

    • Brookhaven National Laboratory

  • Marcus Babzien

    • Brookhaven National Laboratory

  • Mikhail Fedurin

    • Brookhaven National Laboratory

  • Mark A Palmer

    • Brookhaven National Laboratory

  • Sandra G Biedron

    • University of New Mexico
    • Element Aero

  • Manel Martínez-Ramón

    • University of New Mexico

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• Reinforcement learning and neutron scattering

  ORAL

  March 17, 2022, 5:36 PM – March 17, 2022, 5:48 PM

  Presenters

  • William Ratcliff

    • GDS
    • National Institute of Standards and Tech
    • NIST

  Authors

  • William Ratcliff

    • GDS
    • National Institute of Standards and Tech
    • NIST

  • Kate Meuse

    • Cornell University

  • Jessica Opsahl-Ong

    • Rice University

  • Paul Kienzle

    • National Institute of Standards and Technology, NIST Center for Neutron Research, Gaithersburg, MD
    • NIST
    • National Institute of Standards and Technology

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