APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020;
Denver, Colorado
Session Index
Session F20: Data Science I: Big Data & ML
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Sponsoring Units: GDS
Chair: William Ratcliff, National Institute of Standards and Technology
Room: 301
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F20.00001: Information extraction, analysis and feedback for directing matter by design
Invited Speaker:
Bobby Sumpter
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F20.00002: High throughput search for plasmonic semiconductors using DFT databases
Ethan Shapera, Andre Schleife
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F20.00003: Combined High-Throughput and Machine Learning Approach for Prediction of Lattice Thermal Conductivity
Rinkle Juneja, George Yumnam, Swanti Satsangi, Abhishek Singh
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F20.00004: Machine Learning-Assisted Design and Discovery of Next Generation 2D Materials
Victor Venturi, Holden Low Parks, Zeeshan Ahmad, Venkat Viswanathan
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F20.00005: Revealing the Spectrum of Unknown Layered Materials with Super-Human Predictive Abilities
Gowoon Cheon, Ekin Dogus Cubuk, Evan Antoniuk, Joshua Goldberger, Evan J. Reed
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F20.00006: Probing the microscopic origin of magnetism in two-dimensional materials using machine learning
Trevor David Rhone, Efthimios Kaxiras
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F20.00007: Topological data analysis for magnetic domain structure characterization
Masato Kotsugi
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F20.00008: Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Peter Lu, Samuel Kim, Marin Soljacic
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F20.00009: Prediction of Seismic Wave Arrivals Using a Convolutional Neural Network
Jorge Garcia, Lauren Waszek
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F20.00010: Using Reinforcement Learning to Optimize Crystal Structure Determination
William Ratcliff, Kate Meuse, Jessica Opsahl-Ong, Joeseph Rath, Paul Kienzle, Telon Yan, Ryan Cho, Abigail Wilson
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F20.00011: Active Learning for Quantum Experimental Controling
Yadong Wu, Hui Zhai
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F20.00012: International Radiological Information Exchange (IRIX) Standards for Emergency Radiation Monitoring Data Reporting
Sanjoy Mukhopadhyay
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