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Early-Stage Formation of the SIFSIX-3-Zn Metal-Organic Framework: An Automated Computational Study.
Skjelstad, Bastian Bjerkem; Hijikata, Yuh; Maeda, Satoshi.
Afiliación
  • Skjelstad BB; Graduate School of Chemical Sciences and Engineering, Hokkaido University, Sapporo 060-8628, Japan.
  • Hijikata Y; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo 001-0021, Japan.
  • Maeda S; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo 001-0021, Japan.
Inorg Chem ; 62(3): 1210-1217, 2023 Jan 23.
Article en En | MEDLINE | ID: mdl-36626658
ABSTRACT
Metal-organic frameworks (MOFs) have attracted significant attention over the past 2 decades due to their wide applicability as functional materials. However, targeted synthesis of novel MOFs remains problematic as their formation mechanisms are poorly understood, which forces us to rely on serendipity in the synthesis of novel MOFs. Here, we demonstrate a workflow employing the artificial force induced reaction (AFIR) method to investigate the self-assembly process of the node of the SIFSIX-3-Zn MOF, [Zn(pyz)4(SiF6)2]2- (pyz = pyrazine), in an automated manner. The workflow encompassing AFIR calculations, generation of extensive reaction path networks, propagation simulations of intermediates, and further refinements of identified formation pathways showed that the nodal structure can form through multiple competing pathways involving interconvertible intermediates. This finding provides a plausible rationale for the stochastic multistage processes believed to be key in MOF formation. Furthermore, this work represents the first application of an automated reaction mechanism discovery method to a MOF system using a general workflow that is applicable to study the formation of other MOF motifs as well.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estructuras Metalorgánicas Tipo de estudio: Prognostic_studies Idioma: En Revista: Inorg Chem Año: 2023 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estructuras Metalorgánicas Tipo de estudio: Prognostic_studies Idioma: En Revista: Inorg Chem Año: 2023 Tipo del documento: Article País de afiliación: Japón