RedDB, a computational database of electroactive molecules for aqueous redox flow batteries

Elif Sorkun; Qi Zhang; Abhishek Khetan; Murat Cihan Sorkun; Süleyman Er

doi:10.1038/s41597-022-01832-2

Scientific Data (Nov 2022)

RedDB, a computational database of electroactive molecules for aqueous redox flow batteries

Elif Sorkun,
Qi Zhang,
Abhishek Khetan,
Murat Cihan Sorkun,
Süleyman Er

Affiliations

Elif Sorkun: DIFFER - Dutch Institute for Fundamental Energy Research
Qi Zhang: DIFFER - Dutch Institute for Fundamental Energy Research
Abhishek Khetan: DIFFER - Dutch Institute for Fundamental Energy Research
Murat Cihan Sorkun: DIFFER - Dutch Institute for Fundamental Energy Research
Süleyman Er: DIFFER - Dutch Institute for Fundamental Energy Research

DOI: https://doi.org/10.1038/s41597-022-01832-2
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 9

Abstract

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Measurement(s) Clean Database • Physicochemical properties of redox active molecules • aqueous solubility Technology Type(s) Calculation • Physics • machine learning

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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