MOFSimplify, machine learning models with extracted stability data of three thousand metal-organic frameworks.

Nandy, Aditya; Terrones, Gianmarco; Arunachalam, Naveen; Duan, Chenru; Kastner, David W; Kulik, Heather J

Nandy, Aditya; Terrones, Gianmarco; Arunachalam, Naveen; Duan, Chenru; Kastner, David W; Kulik, Heather J.

Afiliação

Nandy A; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Terrones G; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Arunachalam N; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Duan C; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Kastner DW; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Kulik HJ; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Sci Data ; 9(1): 74, 2022 03 11.

Article em En | MEDLINE | ID: mdl-35277533

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article