Accurate Ab Initio-Based Force Field for Predictive CO2 Uptake Simulations in MOFs and ZIFs: Development and Applications for MTV-MOFs
Source abstract
Abstract
For a reliable prediction of CO 2 loading in metal–organic (MOFs) and zeolitic-imidazolate frameworks (ZIFs) by molecular simulation, accurate description of the van der Waals (vdW) and Coulomb interactions is undoubtedly the most critical component. However, there have been some strong recent indications that the use of generic force fields (FFs) widely used in most current CO 2 /MOF simulations that were not particularly parametrized for CO 2 /MOF and ZIF systems could lead to serious discrepancies compared to experimental results. Here, we develop accurate vdW FFs for CO 2 uptake simulations in MOFs and ZIFs using high-level ab initio calculations, and validate the method by comparing the simulated and experimental CO 2 uptakes for various known MOFs and ZIFs. The agreements between simulations and experiments are shown to be excellent for several known MOFs and ZIFs, although the FF parameters are not specifically fitted to those particular systems, showing the potential transferability of the FF. Atomic charges of the adsorbents are computed via the rapid charge equilibration method. Using these highly accurate FFs, we reveal the origin of the enhanced CO 2 uptake in recently reported MOFs having multivariate functional groups (MTV-MOFs). We find that the capacity enhancement in MTV-MOFs arises from an increase in both vdW (due to tighter geometry) and electrostatic (due to increased dipole moment) interactions between CO 2 and MTV-MOF. We further predict that MOF-5-NO 2 can have an even higher CO 2 uptake than these MTV-MOFs due to a larger local dipole moment of the NO 2 -functionalized linker than those found in the reported MTV-MOFs. As a further designing of the high capacity material, we then introduced both electron-donating and -withdrawing functional groups simultaneously in the same organic linker to increase the local dipole moment of the linker significantly. The resulting CO 2 uptake indeed increases substantially due to the favorable electrostatic interactions that can be tested experimentally.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Machine Learning in Materials Science · Covalent Organic Framework Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Center for Nanocharacterization, Korea Research Institute of Standards and Science (KRISS), 267 Gajeong-Ro, Yuseong-Gu, Daejeon 305-340, Republic of Korea
Insilicotech Company Limited, C-602 Korea Bio Park, 210 Sampyong-Dong, Bundang-Gu, Seongnam, Gyeonggi-Do 463-400, Republic of Korea
Graduate School of EEWS, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-701, Republic of Korea
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