Machine Learning for Correlative and Analytical Measurements
FOCUS · V60 · ID: 380782
Presentations
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Sequential Bayesian experimental design for everyday measurements
ORAL
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Presenters
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Robert McMichael
- National Institute of Standards and Technology
Authors
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Robert McMichael
- National Institute of Standards and Technology
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Sergey Dushenko
- National Institute of Standards and Technology
- UMD/NIST
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Sean M Blakley
- National Institute of Standards and Technology
- UMD/NIST
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Machine Learning Correlates Charge Density Wave with the Local Gap in Cuprate Superconductors
ORAL
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Presenters
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Kaylie Hausknecht
- Department of Physics, Harvard University
Authors
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Kaylie Hausknecht
- Department of Physics, Harvard University
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Tatiana Webb
- Department of Physics, Harvard University
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Michael Boyer
- Department of Physics, Clark University
- Clark University
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Yi Yin
- Department of Physics, Zhejiang University
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Takeshi Kondo
- ISSP, University of Tokyo
- ISSP, The Univ. of Tokyo
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Tsunehiro Takeuchi
- Toyota Technological Institute
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Hiroshi Ikuta
- Department of Materials Physics, Nagoya University
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Eric Hudson
- Department of Physics, Pennsylvania State University
- Penn State University
- Pennsylvania State University
- Physics, Pennsylvania State University
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Jenny E. Hoffman
- Harvard University
- Department of Physics, Harvard University
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Using Machine Learning for noise reduction in X-ray Photon Correlation Spectroscopy data to quantify time series dynamics
ORAL
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Presenters
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Tatiana Konstantinova
- Brookhaven National Laboratory
Authors
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Tatiana Konstantinova
- Brookhaven National Laboratory
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Lutz Wiegart
- Brookhaven National Laboratory
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Anthony DeGennaro
- Brookhaven National Laboratory
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Andi Barbour
- Brookhaven National Lab
- Brookhaven National Laboratory
- Brookhaven Natl Lab
- National Synchrotron Light Source II, Brookhaven National Laboratory
- NSLS-II, Brookhaven National Laboratory
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Neural network temperature predictions based on the optical properties of quantum dots
ORAL
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Presenters
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John Colton
- Brigham Young University
Authors
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John Colton
- Brigham Young University
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Charles Lewis
- Brigham Young University
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James W Erikson
- Brigham Young University
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Carrie E McClure
- Brigham Young University
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Jordan Bryan
- Illinois State Univ
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Marissa Iraca
- Lock Haven Univ
- Lock Haven University
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Derek Sanchez
- Brigham Young University
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Greg Nordin
- Brigham Young University
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Troy Munro
- Brigham Young University
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Reverse modelling for Lorentz transmission electron microscopy
ORAL
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Presenters
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William Perry
- Department of Physics and the Quantum Theory Project, University of Florida
Authors
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William Perry
- Department of Physics and the Quantum Theory Project, University of Florida
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Min He
- Institute of Physics, Chinese Academy of Sciences
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Ying Zhang
- Institute of Physics, Chinese Academy of Sciences
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Xiaoguang Zhang
- Department of Physics and the Quantum Theory Project, University of Florida
- University of Florida
- Department of Physics, Center for Molecular Magnetic Quantum Materials and Quantum Theory Project, University of Florida
- Department of Physics, University of Florida
- Department of Physics and the Quantum Theory Project, University of Florida, Gainesville, FL
- Physics, University of Florida
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Navigating atomic-scale disorder with correlative tunneling microscopy and defect manipulation
Invited
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Presenters
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Petro Maksymovych
- Oak Ridge National Lab
Authors
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Petro Maksymovych
- Oak Ridge National Lab
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