Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances

Schwalbe-Koda, Daniel; Widdowson, Daniel E.; Pham, Tuan Anh; Kurlin, Vitaliy A.

doi:10.1039/D3DD00134B

Title: Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances

Journal Article · 03 December 2023 · Digital Discovery

DOI: https://doi.org/10.1039/D3DD00134B · OSTI ID:2204797

^[1]; Widdowson, Daniel E. ^[2];

^[1]; Kurlin, Vitaliy A. ^[2]

Lawrence Livermore National Laboratory, Livermore, CA, USA
University of Liverpool, Liverpool, UK

Crystallographic representations and machine learning predict inorganic synthesis conditions for arbitrary zeolites, as validated with literature-mined data.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: NONE; SC0019112

OSTI ID:: 2204797

Alternate ID(s):: OSTI ID: 2229578

Journal Information:: Digital Discovery, Journal Name: Digital Discovery Journal Issue: 6 Vol. 2; ISSN DDIIAI; ISSN 2635-098X

Publisher:: Royal Society of Chemistry (RSC)Copyright Statement

Country of Publication:: United Kingdom

Language:: English

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