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Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification...

Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_760e235e86aa4ae08c5a79c88276d052

Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification and Property Prediction

About this item

Full title

Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification and Property Prediction

Publisher

Weinheim: John Wiley & Sons, Inc

Journal title

Advanced intelligent systems, 2022-07, Vol.4 (7), p.n/a

Language

English

Formats

Publication information

Publisher

Weinheim: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Herein, data‐driven symmetry identification, property prediction, and low‐dimensional embedding from powder X‐Ray diffraction (XRD) patterns of inorganic crystal structure database (ICSD) and materials project (MP) entries are reported. For this purpose, a fully convolutional neural network (FCN), transformer encoder (T‐encoder), and variational au...

Alternative Titles

Full title

Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification and Property Prediction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_760e235e86aa4ae08c5a79c88276d052

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_760e235e86aa4ae08c5a79c88276d052

Other Identifiers

ISSN

2640-4567

E-ISSN

2640-4567

DOI

10.1002/aisy.202200042

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