Literature DB >> 32109055

CASSCF with Extremely Large Active Spaces using the Adaptive Sampling Configuration Interaction Method.

Daniel S Levine, Diptarka Hait, Norm M Tubman, Susi Lehtola, K Birgitta Whaley, Martin Head-Gordon.   

Abstract

The complete active space self-consistent field (CASSCF) method is the principal approach employed for studying strongly correlated systems. However, exact CASSCF can only be performed on small active spaces of ∼20 electrons in ∼20 orbitals due to exponential growth in the computational cost. We show that employing the Adaptive Sampling Configuration Interaction (ASCI) method as an approximate Full CI solver in the active space allows CASSCF-like calculations within chemical accuracy (<1 kcal/mol for relative energies) in active spaces with more than ∼50 active electrons in ∼50 active orbitals, significantly increasing the sizes of systems amenable to accurate multiconfigurational treatment. The main challenge with using any selected CI-based approximate CASSCF is the orbital optimization problem; they tend to exhibit large numbers of local minima in orbital space due to their lack of invariance to active-active rotations (in addition to the local minima that exist in exact CASSCF). We highlight methods that can avoid spurious local extrema as a practical solution to the orbital optimization problem. We employ ASCI-SCF to demonstrate lack of polyradical character in moderately sized periacenes with up to 52 correlated electrons and compare against heat-bath CI on an iron porphyrin system with more than 40 correlated electrons.

Entities:  

Year:  2020        PMID: 32109055     DOI: 10.1021/acs.jctc.9b01255

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  3 in total

1.  Stochastic Generalized Active Space Self-Consistent Field: Theory and Application.

Authors:  Oskar Weser; Kai Guther; Khaldoon Ghanem; Giovanni Li Manni
Journal:  J Chem Theory Comput       Date:  2021-12-13       Impact factor: 6.006

2.  Active Learning Configuration Interaction for Excited-State Calculations of Polycyclic Aromatic Hydrocarbons.

Authors:  WooSeok Jeong; Carlo Alberto Gaggioli; Laura Gagliardi
Journal:  J Chem Theory Comput       Date:  2021-11-17       Impact factor: 6.006

3.  Gas-Phase Peroxyl Radical Recombination Reactions: A Computational Study of Formation and Decomposition of Tetroxides.

Authors:  Vili-Taneli Salo; Rashid Valiev; Susi Lehtola; Theo Kurtén
Journal:  J Phys Chem A       Date:  2022-06-16       Impact factor: 2.944

  3 in total

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