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Computational structure determination of novel metal–organic frameworks
- Source :
- Chemical Communications, Chemical Communications, Royal Society of Chemistry, 2018, 54 (77), pp.10812-10815. ⟨10.1039/c8cc05455j⟩
- Publication Year :
- 2018
- Publisher :
- Royal Society of Chemistry (RSC), 2018.
-
Abstract
- International audience; A structure prediction tool has been developed to guide the discovery of MOF materials. This computational strategy has been trained over a series of existing MOFs and further successfully applied in tandem with an experimental effort to produce novel Zr MOFs based on naturally occurring carboxylic acids.
- Subjects :
- Materials science
Tandem
010405 organic chemistry
Metals and Alloys
Structure (category theory)
Nanotechnology
[CHIM.MATE]Chemical Sciences/Material chemistry
General Chemistry
010402 general chemistry
01 natural sciences
Catalysis
0104 chemical sciences
Surfaces, Coatings and Films
Electronic, Optical and Magnetic Materials
Materials Chemistry
Ceramics and Composites
[CHIM]Chemical Sciences
Metal-organic framework
Subjects
Details
- ISSN :
- 1364548X and 13597345
- Volume :
- 54
- Database :
- OpenAIRE
- Journal :
- Chemical Communications
- Accession number :
- edsair.doi.dedup.....7db3ccff03be81e5039e73d509a69b4b
- Full Text :
- https://doi.org/10.1039/c8cc05455j