January 25, 2023
Journal Article

The Effect of Geometry, Spin and Orbital Optimization in Achieving Accurate, Correlated Results for Iron- Sulfur Cubanes

Abstract

Iron-sulfur clusters comprise an important functional motif of the catalytic centers of biological systems, capable of enabling important chemical transformations at ambient conditions. This remarkable capability derives from a notoriously complex electronic structure that is characterized by a high density of states that is sensitive to geometric changes. The spectral sensitivity to subtle geometric changes has received little attention from fully-correlated calculations, owing partly to the exceptional computational complexity for treating these large and correlated systems accurately. To provide insight into this aspect, we report the first Complete Active Space Self Consistent Field (CASSCF) calculations for different geometries of cubane-based clusters using two complementary, fully-correlated solvers: spin-pure Adaptive Sampling Configuration Interaction (ASCI) and Density Matrix Renormalization Group (DMRG). We find that the previously established picture of a double-exchange driven magnetic structure, with minute energy gaps (

Published: January 25, 2023

Citation

Mejuto-Zaera C., D. Tzeli, D. Williams-Young, N.M. Tubman, M. MatouĊĦek, J. Brabec, and L. Veis, et al. 2022. The Effect of Geometry, Spin and Orbital Optimization in Achieving Accurate, Correlated Results for Iron- Sulfur Cubanes. Journal of Chemical Theory and Computation 18, no. 2:687-702. PNNL-SA-162303. doi:10.1021/acs.jctc.1c00830