DFT-Based Multireference Diagnostics in the Solid State: Application to Metal-Organic Frameworks.

J Chem Theory Comput

Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts02139, United States.

Published: January 2023

AI Article Synopsis

  • High-level multireference (MR) methods are necessary for understanding systems where a single determinant doesn't suffice, especially in complex electronic structures.
  • This study focuses on introducing low-cost MR diagnostics for solid-state systems, using metal-organic frameworks (MOFs) as models, which allow for easy comparisons to molecular derivatives.
  • Results show that MR characteristics in MOFs closely match those in their molecular counterparts, suggesting that molecular derivatives can effectively represent MOFs for MR detection and corrections, streamlining the analysis of porous solids.

Article Abstract

When a many-body wave function of a system cannot be captured by a single determinant, high-level multireference (MR) methods are required to properly explain its electronic structure. MR diagnostics to estimate the magnitude of such static correlation have been primarily developed for molecular systems and range from low in computational cost to as costly as the full MR calculation itself. We report the first application of low-cost MR diagnostics based on the fractional occupation number calculated with finite-temperature DFT to solid-state systems. To compare the behavior of the diagnostics on solids and molecules, we select metal-organic frameworks (MOFs) as model materials because their reticular nature provides an intuitive way to identify molecular derivatives. On a series of closed-shell MOFs, we demonstrate that the DFT-based MR diagnostics are equally applicable to solids as to their molecular derivatives. The magnitude and spatial distribution of the MR character of a MOF are found to have a good correlation with those of its molecular derivatives, which can be calculated much more affordably in comparison to those of the full MOF. The additivity of MR character discussed here suggests the set of molecular derivatives to be a good representation of a MOF for both MR detection and ultimately for MR corrections, facilitating accurate and efficient high-throughput screening of MOFs and other porous solids.

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Source
http://dx.doi.org/10.1021/acs.jctc.2c01033DOI Listing

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