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This content will become publicly available on April 30, 2019

Title: A simple constrained machine learning model for predicting high-pressure-hydrogen-compressor materials

Here we present the results of using techno-economic analysis as constraints for machine learning guided studies of new metal hydride materials.
Authors:
ORCiD logo [1] ;  [1] ;  [2]
  1. Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, USA
  2. Greenway Energy LLC, Aiken, USA
Publication Date:
Grant/Contract Number:
FOA-0001618/DESC00117076
Type:
Publisher's Accepted Manuscript
Journal Name:
Molecular Systems Design & Engineering
Additional Journal Information:
Journal Name: Molecular Systems Design & Engineering Journal Volume: 3 Journal Issue: 3; Journal ID: ISSN 2058-9689
Publisher:
Royal Society of Chemistry (RSC)
Sponsoring Org:
USDOE
Country of Publication:
United Kingdom
Language:
English
OSTI Identifier:
1436892