Physics-informed Bayesian optimization suitable for extrapolation of materials growth
Physics-informed Bayesian optimization suitable for extrapolation of materials growth
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
This paper describes a novel physics-informed Bayesian optimization approach that leverages prior physics knowledge, specifically Vegard’s law and the linear relationship between gas flow rate and composition in compound semiconductors. The methodology was applied to metal-organic chemical vapor deposition for III–V semiconductor growth. It resulte...
Alternative Titles
Full title
Physics-informed Bayesian optimization suitable for extrapolation of materials growth
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7efa9a60088b432d9d87428c1cd5a153
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7efa9a60088b432d9d87428c1cd5a153
Other Identifiers
E-ISSN
2057-3960
DOI
10.1038/s41524-025-01522-8
