Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening-Reference-Cited by-同舟云学术

Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening

Published:2021-12-15 Issue:51 Volume:13 Page:61004-61014
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Majumdar Sauradeep¹^ORCID,Moosavi Seyed Mohamad¹^ORCID,Jablonka Kevin Maik¹^ORCID,Ongari Daniele¹^ORCID,Smit Berend¹^ORCID

Affiliation:

1. Laboratory of Molecular Simulation (LSMO), Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), Rue de l’Industrie 17, CH-1951 Sion, Valais, Switzerland

Funder

Engineering and Physical Sciences Research Council

Bundesamt f??r Energie

Department for Business, Energy and Industrial Strategy, UK Government

Schweizerischer Nationalfonds zur F??rderung der Wissenschaftlichen Forschung

Norges Forskningsr??d

Equinor

Natural Environment Research Council

Total

U.S. Department of Energy

Horizon 2020 Framework Programme

H2020 European Research Council

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.1c16220

Reference77 articles.

1. Systematic Design of Pore Size and Functionality in Isoreticular MOFs and Their Application in Methane Storage

2. Development of a Cambridge Structural Database Subset: A Collection of Metal–Organic Frameworks for Past, Present, and Future

3. Advances, Updates, and Analytics for the Computation-Ready, Experimental Metal–Organic Framework Database: CoRE MOF 2019

4. Too Many Materials and Too Many Applications: An Experimental Problem Waiting for a Computational Solution

5. The current status of hydrogen storage in metal–organic frameworks—updated

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