Modeling and Computational Approaches in Material Science
FOCUS · J06 ·
Presentations
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Neural Networks and Machine Learning in Condensed Matter Physics Research: Two Examples
COFFEE_KLATCH · Invited
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Authors
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John Colton
- Brigham Young University
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Improved Uncertainty Quantification of Interatomic Models using Sloppy Model Analysis
ORAL
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Authors
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Dylan Bailey
- Brigham Young University
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Mark Transtrum
- Brigham Young University
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Yonatan Kurniawan
- Brigham Young University
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Cody Petrie
- Brigham Young University
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Intuitive and Dynamic Software for muSR Analysis
ORAL
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Authors
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Kevin Petersen
- Brigham Young University
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Non-Linear Optimization for Enhanced Parameter Retrieval in Magnetic Resonance Fingerprinting
ORAL
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Authors
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John Lundstrom
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, CO
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Megan E. Poorman
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, CO
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Andrew Dienstfrey
- Information Technology Laboratory, National Institute of Standards and Technology, Boulder, CO
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Kathryn E. Keenan
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, CO
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Turbulent Hydrodynamic Flow of a Dirac Fluid in a Two Dimensional Solid
ORAL
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Authors
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Mark Watson
- University of Colorado, Colorado Springs
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Challenges for prior selection in sloppy, multiparameter models
ORAL
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Authors
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Yonatan Kurniawan
- Brigham Young University
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Cody Petrie
- Brigham Young University
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Mark Transtrum
- Brigham Young University
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Kinamo Williams
- Brigham Young University
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Developing an Ab Initio-Kinetic Model for the Prediction of Passivation Behavior
ORAL
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Authors
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Rachel Gorelik
- Arizona State University
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Peter Crozier
- Arizona State University
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Arunima Singh
- Arizona State University
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