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Interpretable Tree-Based Approaches for Novel Solid State Electrolyte Discovery and Design
Document ID
20220014945
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Shreyas J. Honrao (Wyle (United States) El Segundo, California, United States)
Date Acquired
October 3, 2022
Subject Category
Chemistry And Materials (General)
Meeting Information
Meeting: Invited to talk at Carnegie Mellon University
Location: Pittsburgh, PA
Country: US
Start Date: October 11, 2022
Sponsors: Carnegie Mellon University
Funding Number(s)
CONTRACT_GRANT: 80ARC020D0010
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Batteries
Machine Learning

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