A simple constrained machine learning model for predicting high-pressure-hydrogen-compressor materials-Reference-Cited by-同舟云学术

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

Published:2018 Issue:3 Volume:3 Page:509-517
ISSN:2058-9689
Container-title:Molecular Systems Design & Engineering
language:en
Short-container-title:Mol. Syst. Des. Eng.

Author:

Hattrick-Simpers Jason R.¹²³⁴^ORCID,Choudhary Kamal¹²³⁴,Corgnale Claudio⁵⁶⁴

Affiliation:

1. Material Measurement Laboratory

2. National Institute of Standards and Technology

3. Gaithersburg

4. USA

5. Greenway Energy LLC

6. Aiken

Abstract

Here we present the results of using techno-economic analysis as constraints for machine learning guided studies of new metal hydride materials.

Funder

Small Business Innovative Research and Small Business Technology Transfer

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,Biomedical Engineering,Chemical Engineering (miscellaneous),Chemistry (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2018/ME/C8ME00005K

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