I05 - Innovation in Data and Machine Learning

Tuesday, 15 October 2019: 13:30-17:30
Room 216 (The Hilton Atlanta)
Chairs:
Katie Randolph and Huyen N. Dinh
13:30
(Invited) Machine Learning in Materials Discovery
B. Meredig (Citrine Informatics)
14:00
(Invited) Computational Discovery of Metal-Organic Frameworks for Hydrogen Storage: Combining High-Throughput Screening, Machine Learning, and Experimental Demonstration
D. J. Siegel (University of Michigan, Ann Arbor)
14:30
(Invited) Combined Ab Initio and Machine Learning Approaches to Discover Materials for Hydrogen Generation
C. B. Musgrave (University of Colorado)
15:00
(Invited) Functional Defects By Design—a High-Throughput Approach to Energy Materials Discovery
P. Ganesh (Oak Ridge National Laboratory)
15:30
Break
16:00
(Invited) HPC4Materials Program: A National Laboratory - Industry Partnership in High Performance Computational Simulations
R. Miles (Lawrence Livermore National Laboratory)
16:30
(Invited) An Experimental and Computational Data Ecosystem for Advancing Materials Research
R. R. White, K. Munch, and J. D. Perkins (National Renewable Energy Laboratory)
17:00
(Invited) Connecting the Hydrogen Datahub to Scientists and the World
D. Gunter (Lawrence Berkeley Lab), A. Cai (MIT, Sandia National Laboratory), N. Danilovic (Lawrence Berkeley National Laboratory), A. H. McDaniel (Sandia National Labs), and R. Karnesky (Sandia National Laboratory)
See more of: I05: Crosscutting Materials Innovation for Transformational Chemical and Electrochemical Energy Conversion Technologies 3
See more of: Fuel Cells, Electrolyzers, and Energy Conversion
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