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Published in

Royal Society of Chemistry, Journal of Materials Chemistry A: materials for energy and sustainability, 29(11), p. 15878-15888, 2023

DOI: 10.1039/d3ta02323k

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Towards Pareto optimal high entropy hydrides via data-driven materials discovery

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Data-driven predictions of metal hydride thermodynamic properties elucidate the Pareto optimal front of high entropy alloy candidates for hydrogen storage.