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Organic Reactivity Made Easy and Accurate with Automated Multireference Calculations.
Wardzala, Jacob J; King, Daniel S; Ogunfowora, Lawal; Savoie, Brett; Gagliardi, Laura.
Afiliación
  • Wardzala JJ; Department of Chemistry,University of Chicago, Chicago, Illinois 60637, United States.
  • King DS; Department of Chemistry,University of Chicago, Chicago, Illinois 60637, United States.
  • Ogunfowora L; Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47906, United States.
  • Savoie B; Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47906, United States.
  • Gagliardi L; Department of Chemistry, Pritzker School of Molecular Engineering, James Franck Institute, Chicago Center for Theoretical Chemistry, University of Chicago, Chicago, Illinois 60637, United States.
ACS Cent Sci ; 10(4): 833-841, 2024 Apr 24.
Article en En | MEDLINE | ID: mdl-38680571
ABSTRACT
In organic reactivity studies, quantum chemical calculations play a pivotal role as the foundation of understanding and machine learning model development. While prevalent black-box methods like density functional theory (DFT) and coupled-cluster theory (e.g., CCSD(T)) have significantly advanced our understanding of chemical reactivity, they frequently fall short in describing multiconfigurational transition states and intermediates. Achieving a more accurate description necessitates the use of multireference methods. However, these methods have not been used at scale due to their often-faulty predictions without expert input. Here, we overcome this deficiency with automated multiconfigurational pair-density functional theory (MC-PDFT) calculations. We apply this method to 908 automatically generated organic reactions. We find 68% of these reactions present significant multiconfigurational character in which the automated multiconfigurational approach often provides a more accurate and/or efficient description than DFT and CCSD(T). This work presents the first high-throughput application of automated multiconfigurational methods to reactivity, enabled by automated active space selection algorithms and the computation of electronic correlation with MC-PDFT on-top functionals. This approach can be used in a black-box fashion, avoiding significant active space inconsistency error in both single- and multireference cases and providing accurate multiconfigurational descriptions when needed.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Cent Sci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Cent Sci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos