Combining pair-density functional theory and variational two-electron reduced-density matrix methods
Mohammad Mostafanejad, A. Eugene DePrince III

TL;DR
This paper introduces a combined computational approach using variational two-electron reduced-density matrix methods and on-top pair-density functional theory to efficiently describe both static and dynamical electron correlation in complex systems.
Contribution
The paper develops and applies a novel v2RDM-CASSCF-PDFT method that integrates active-space RDM optimization with density functional theory for improved correlation modeling.
Findings
Successfully applied to potential energy curves of N2, H2O, and CN-
Estimated singlet/triplet splitting in long acenes as 4.87 kcal/mol
Demonstrated computational efficiency in multiconfigurational systems
Abstract
Complete active space self-consistent field (CASSCF) computations can be realized at polynomial cost via the variational optimization of the active-space two-electron reduced-density matrix (2-RDM). Like conventional approaches to CASSCF, variational 2-RDM (v2RDM)-driven CASSCF captures nondynamical electron correlation in the active space, but it lacks a description of the remaining dynamical correlation effects. Such effects can be modeled through a combination of v2RDM-CASSCF and on-top pair-density functional theory (PDFT). The resulting v2RDM-CASSCF-PDFT approach provides a computationally inexpensive framework for describing both static and dynamical correlation effects in multiconfigurational and strongly correlated systems. On-top pair-density functionals can be derived from familiar Kohn-Sham exchange-correlation (XC) density functionals through the translation of the…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Spectroscopy and Quantum Chemical Studies
