Large-Scale Refinement of Metal-Organic Framework Structures Using Density Functional Theory
Journal Article
·
· Chemistry of Materials
- Georgia Inst. of Technology, Atlanta, GA (United States). School of Chemical & Biomolecular Engineering; University of Minnesota Nanoporous Materials Genome Center
- Georgia Inst. of Technology, Atlanta, GA (United States). School of Chemical & Biomolecular Engineering
- Pusan National Univ., Busan (Korea, Republic of). School of Chemical and Biomolecular Engineering; Northwestern Univ., Evanston, IL (United States). Dept. of Chemical and Biological Engineering
- Northwestern Univ., Evanston, IL (United States). Dept. of Chemical and Biological Engineering
Efforts to computationally characterize large numbers of nanoporous materials often rely on databases of experimentally resolved crystal structures. The accuracy of experimental crystal structures used in such calculations has a significant impact on the reliability of the results. Here in this work, we report structures optimized using periodic density functional theory (DFT) for more than 800 experimentally synthesized metal-organic frameworks (MOFs). Many MOFs changed significantly upon structural optimization, particularly materials that were crystallographically resolved in their solvated form. For each MOF, we simulated the adsorption of CH4 and CO2 using grand canonical Monte Carlo both before and after DFT optimization. The DFT optimization has a large impact on simulated gas adsorption in some cases – for example, CO2 loading at 1 bar changed by more than 25% in over 25% of the MOFs we considered.
- Research Organization:
- Univ. of Minnesota, Minneapolis, MN (United States). Nanoporous Materials Genome Center
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
- Grant/Contract Number:
- SC0008688
- OSTI ID:
- 1459355
- Journal Information:
- Chemistry of Materials, Journal Name: Chemistry of Materials Journal Issue: 6 Vol. 29; ISSN 0897-4756
- Publisher:
- American Chemical Society (ACS)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Computation-Ready, Experimental Metal–Organic Frameworks: A Tool To Enable High-Throughput Screening of Nanoporous Crystals
High-Throughput Computational Screening of Multivariate Metal–Organic Frameworks (MTV-MOFs) for CO2 Capture
Journal Article
·
Fri Oct 03 20:00:00 EDT 2014
· Chemistry of Materials
·
OSTI ID:1477221
High-Throughput Computational Screening of Multivariate Metal–Organic Frameworks (MTV-MOFs) for CO2 Capture
Journal Article
·
Mon Dec 04 19:00:00 EST 2017
· Journal of Physical Chemistry Letters
·
OSTI ID:1484018