Hybrid computational approaches for deriving quantum mechanical insights into metal–organic frameworks
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 2309-2317 |
Journal / Publication | Tetrahedron Letters |
Volume | 58 |
Issue number | 24 |
Publication status | Published - 14 Jun 2017 |
Link(s)
Abstract
Experimental studies have increasingly shown that metal–organic frameworks (MOFs) serve as excellent catalytic platforms for various organic reactions. Although the theoretical description of large MOF systems presents a major technical challenge, the hybrid QM/MM computational approach, which has proven highly useful in studying large systems such as enzymes, should have great potential for elucidating fundamental details of MOFs. It is also possible to combine two different levels of QM methods (QM/QM′). This digest paper reviews the applications of these hybrid approaches, which have been made to study catalysis and gas adsorption of MOF systems.
Research Area(s)
- Catalysis, Gas adsorption, Metal–organic frameworks, Organic reactions, QM/MM, QM/QM′
Citation Format(s)
Hybrid computational approaches for deriving quantum mechanical insights into metal–organic frameworks. / Doitomi, Kazuki; Hirao, Hajime.
In: Tetrahedron Letters, Vol. 58, No. 24, 14.06.2017, p. 2309-2317.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review