A proxy for oxygen storage capacity from high-throughput screening and automated data analysis

Author:

Quayle Jack J.1ORCID,Katsoulidis Alexandros P.1ORCID,Claridge John B.1ORCID,York Andrew P. E.2ORCID,Thompsett David2ORCID,Rosseinsky Matthew J.1ORCID

Affiliation:

1. Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK

2. Johnson Matthey Technology Centre, Blounts Court Road, Reading RG4 9NH, UK

Abstract

A quantitative proxy model for the slow-to-measure oxygen storage capacity was developed using only fast-to-measure metrics taken from a workflow consisting of high-throughput synthesis, high-throughput screening techniques and automated analysis.

Funder

Engineering and Physical Sciences Research Council

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

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