Materials Informatics with PoreBlazer v4.0 and the CSD MOF Database-Reference-Cited by-同舟云学术

Materials Informatics with PoreBlazer v4.0 and the CSD MOF Database

Published:2020-11-27 Issue:23 Volume:32 Page:9849-9867
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Sarkisov Lev¹^ORCID,Bueno-Perez Rocio²,Sutharson Mythili²,Fairen-Jimenez David²^ORCID

Affiliation:

1. The Department of Chemical Engineering and Analytical Science, The University of Manchester, Manchester M13 9PL, United Kingdom

2. The Adsorption & Advanced Materials Laboratory (A2ML), Department of Chemical Engineering & Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom

Funder

Royal Society

H2020 European Research Council

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.0c03575

Reference66 articles.

1. The Chemistry and Applications of Metal-Organic Frameworks

2. Zeolitic Imidazolate Frameworks: Next-Generation Materials for Energy-Efficient Gas Separations

3. Covalent organic frameworks (COFs): from design to applications

4. Design of New Materials for Methane Storage

5. Large-scale screening of hypothetical metal–organic frameworks

Cited by 175 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Theoretical simulation of OH− transport in poly(arylene indole piperidinium) anion exchange membranes: Effect of side-chain chemical structure;Separation and Purification Technology;2025-02

2. Two-way coupling dynamics of CH4 adsorption and coal matrix deformation: Insights from hybrid GCMC/MD simulations;Chemical Engineering Journal;2024-10

3. High‐Rate Polymeric Redox in MXene‐Based Superlattice‐Like Heterostructure for Ammonium Ion Storage;Advanced Energy Materials;2024-09-03

4. Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery;Coordination Chemistry Reviews;2024-09

5. Biochar data into structure: A methodology for generating large-scale atomistic representations;Carbon;2024-09