Work

Gaussian process regression-enhanced screening of Ir–Co–Ti mixed-oxide thin-film electrocatalyst libraries for acidic oxygen evolution

Year: 2026

Type: article

Abstract: Gaussian process regression-enhanced workflows allow for accelerating research while maintaining a deeper understanding of performance trends.

Source: Digital Discovery

DOI: 10.1039/d6dd00127k

Authors: Joanna M. Przybysz, Felix Thelen, Florian Lourens, Ken Jenewein, Alfred Ludwig, Serhiy Cherevko

Institutions: Forschungszentrum Jülich, Friedrich-Alexander-Universität Erlangen-Nürnberg, Helmholtz Institute Erlangen-Nürnberg, Ruhr University Bochum

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W7213165234

FWCI:

Cites: 67

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