Machine learning potential for modelling H

Journal

Chemical science
ISSN: 2041-6520
Titre abrégé: Chem Sci
Pays: England
ID NLM: 101545951

Informations de publication

Date de publication:
03 Apr 2024
Historique:
received: 20 10 2023
accepted: 05 03 2024
medline: 5 4 2024
pubmed: 5 4 2024
entrez: 5 4 2024
Statut: epublish

Résumé

Metal-organic frameworks (MOFs) incorporating open metal sites (OMS) have been identified as promising sorbents for many societally relevant-adsorption applications including CO

Identifiants

DOI: 10.1039/d3sc05612k PMID: 38577379 PMC: PMC10988610
pubmed: 38577379
doi: 10.1039/d3sc05612k
pii: d3sc05612k
pmc: PMC10988610
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5294-5302

Informations de copyright

This journal is © The Royal Society of Chemistry.

Déclaration de conflit d'intérêts

There are no conflicts to declare.

Auteurs

Shanping Liu (S)

UMR 5253, CNRS, ENSCM, Institute Charles Gerhardt Montpellier, University of Montpellier Montpellier 34293 France guillaume.maurin1@umontpellier.fr.

Romain Dupuis (R)

UMR 5253, CNRS, ENSCM, Institute Charles Gerhardt Montpellier, University of Montpellier Montpellier 34293 France guillaume.maurin1@umontpellier.fr.
LMGC, Univ. Montpellier, CNRS Montpellier France.

Dong Fan (D)

UMR 5253, CNRS, ENSCM, Institute Charles Gerhardt Montpellier, University of Montpellier Montpellier 34293 France guillaume.maurin1@umontpellier.fr.

Salma Benzaria (S)

Division of Physical Science and Engineering, Advanced Membrane and Porous Materials Center, King Abdullah, University of Science and Technology (KAUST) Thuwal 23955-6900 Kingdom of Saudi Arabia mohamed.eddaoudi@kaust.edu.sa.

Mickaele Bonneau (M)

Division of Physical Science and Engineering, Advanced Membrane and Porous Materials Center, King Abdullah, University of Science and Technology (KAUST) Thuwal 23955-6900 Kingdom of Saudi Arabia mohamed.eddaoudi@kaust.edu.sa.

Prashant Bhatt (P)

Division of Physical Science and Engineering, Advanced Membrane and Porous Materials Center, King Abdullah, University of Science and Technology (KAUST) Thuwal 23955-6900 Kingdom of Saudi Arabia mohamed.eddaoudi@kaust.edu.sa.
ORCID: 0000-0002-9944-1062

Mohamed Eddaoudi (M)

Division of Physical Science and Engineering, Advanced Membrane and Porous Materials Center, King Abdullah, University of Science and Technology (KAUST) Thuwal 23955-6900 Kingdom of Saudi Arabia mohamed.eddaoudi@kaust.edu.sa.
ORCID: 0000-0003-1916-9837

Guillaume Maurin (G)

UMR 5253, CNRS, ENSCM, Institute Charles Gerhardt Montpellier, University of Montpellier Montpellier 34293 France guillaume.maurin1@umontpellier.fr.
ORCID: 0000-0002-2096-0450

Classifications MeSH