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Methods for comparing uncertainty quantifications for material property predictions

Methods for comparing uncertainty quantifications for material property predictions

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_citationtrail_10_1088_2632_2153_ab7e1a

Methods for comparing uncertainty quantifications for material property predictions

About this item

Full title

Methods for comparing uncertainty quantifications for material property predictions

Journal title

Machine learning: science and technology, 2020-06, Vol.1 (2), p.25006

Language

English

Formats

More information

Scope and Contents

Contents

Data science and informatics tools have been proliferating recently within the computational materials science and catalysis fields. This proliferation has spurned the creation of various frameworks for automated materials screening, discovery, and design. Underpinning these frameworks are surrogate models with uncertainty estimates on their predic...

Alternative Titles

Full title

Methods for comparing uncertainty quantifications for material property predictions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_citationtrail_10_1088_2632_2153_ab7e1a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_citationtrail_10_1088_2632_2153_ab7e1a

Other Identifiers

ISSN

2632-2153

E-ISSN

2632-2153

DOI

10.1088/2632-2153/ab7e1a.

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