Open AccessHyMARC Seedling: Optimized Hydrogen Adsorbents via Machine Learning and Crystal Engineering
Author(s) -
Donald J. Siegel,
Alauddin Ahmed,
Suresh Kuthuru,
Darpandeep Aulakh,
Adam J. Matzger,
Justin Purewal,
Mike Veenstra
Publication year - 2022
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1854009
Subject(s) - gravimetric analysis , hydrogen storage , materials science , sorbent , adsorption , benchmark (surveying) , porosity , void (composites) , metal organic framework , crystal (programming language) , chemical engineering , computer science , composite material , chemistry , engineering , organic chemistry , geology , alloy , geodesy , programming language
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