Autonomous Systems and Control
FOCUS · F60 · ID: 381707
Presentations
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Autonomous Materials Research and Discovery at the Beamline
Invited
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Presenters
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Aaron Kusne
National Institute of Standards and Technology, University of Maryland, College Park
Authors
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Aaron Kusne
National Institute of Standards and Technology, University of Maryland, College Park
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Austin McDannald
National Institute of Standards and Technology
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Brian DeCost
National Institute of Standards and Technology
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Apurva Mehta
Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Stanford Synchrotron Radiation Lightsource, Stanford Synchrotron Radiation Lightsource, Menlo Park, CA, US, academic/physics, Stanford Synchrotron Radiation Lightsource
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Ichiro Takeuchi
University of Maryland, College Park, Department of Materials Science, University of Maryland, Department of Materials Science and Engineering, University of Maryland
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Autonomous Nanocars based on Reinforcement Learning
ORAL
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Presenters
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Bernhard R. Ramsauer
Institute of Solid State Physics, Graz University of Technology
Authors
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Bernhard R. Ramsauer
Institute of Solid State Physics, Graz University of Technology
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Oliver T. Hofmann
Institute of Solid State Physics, Graz University of Technology, Graz Univ of Technology
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Grant J. Simpson
Institut of Chemistry, Graz University
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Leonhard Grill
Institut of Chemistry, Graz University
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Machine Learning and Reinforcement Learning for Automated Experimentation and Materials Synthesis
Invited
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Presenters
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Rama Vasudevan
Oak Ridge National Laboratory
Authors
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Rama Vasudevan
Oak Ridge National Laboratory
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Stephen Jesse
University of Tennessee, Oak Ridge National Laboratory
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Maxim Ziatdinov
Oak Ridge National Lab, Oak Ridge National Laboratory
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Kyle Kelley
Oak Ridge National Laboratory
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Hiroshi Funakubo
Department of Material Science and Engineering, Tokyo Institute of Technology
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Ayana Ghosh
Oak Ridge National Laboratory
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Sergei Kalinin
Oak Ridge National Lab, Oak Ridge National Laboratory
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SciAI for Grain Mapping with Electron Backscatter Diffraction: Leveraging Physics-Based Constraints and Uncertainty Propagation
ORAL
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Presenters
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Austin McDannald
National Institute of Standards and Technology
Authors
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Austin McDannald
National Institute of Standards and Technology
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Gregory S. Rohrer
Department of Materials Science and Engineering, Carnegie Mellon University
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Amit K. Verma
Department of Materials Science and Engineering, Carnegie Mellon University
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Sukbin Lee
Ulsan National Institute of Science and Technology
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Aaron Kusne
National Institute of Standards and Technology, University of Maryland, College Park
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Using Reinforcement Learning to Optimize Crystal Structure Determination
ORAL
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Presenters
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William Ratcliff
National Institute of Standards and Technology, NIST Center for Neutron Research
Authors
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William Ratcliff
National Institute of Standards and Technology, NIST Center for Neutron Research
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Paul Kienzle
National Institute of Standards and Technology
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Kate Meuse
Cornell
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Jessica Opsahl-Ong
Rice University
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Ryan Cho
Princeton
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Joseph Rath
Rowan University
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Abigail Wilson
Tufts University
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Telon Yan
University of Maryland
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<i>Active learning of Bayesian force fields at quantum accuracy for fast molecular dynamics simulations of rare events.</i>
Invited
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Presenters
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Boris Kozinsky
Harvard University, John A. Paulson School of Engineering and Applied Sciences, Harvard University, School of Engineering & Applied Sciences, Harvard University
Authors
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Boris Kozinsky
Harvard University, John A. Paulson School of Engineering and Applied Sciences, Harvard University, School of Engineering & Applied Sciences, Harvard University
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