2019
DOI: 10.3389/fchem.2019.00225
|View full text |Cite
|
Sign up to set email alerts
|

λ-Density Functional Valence Bond: A Valence Bond-Based Multiconfigurational Density Functional Theory With a Single Variable Hybrid Parameter

Abstract: A new valence bond (VB)-based multireference density functional theory (MRDFT) method, named λ-DFVB, is presented in this paper. The method follows the idea of the hybrid multireference density functional method theory proposed by Sharkas et al. ( 2012 ). λ-DFVB combines the valence bond self-consistent field (VBSCF) method with Kohn–Sham density functional theory (KS-DFT) by decomposing the electron–electron interactions with a hybrid parameter λ. Different from the Toulouse's scheme, t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
14
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
3
2
1

Relationship

1
5

Authors

Journals

citations
Cited by 14 publications
(14 citation statements)
references
References 82 publications
0
14
0
Order By: Relevance
“…The value of K ranges from 0 to 1, as F A is identical to V A in the dissociation limit. Equation ( 7) can be implemented by a modified VBSCF route [42]. To this end, the structure coefficients {C K } and orbitals {φ i } are optimized by minimizing…”
Section: Hxcmentioning
confidence: 99%
See 2 more Smart Citations
“…The value of K ranges from 0 to 1, as F A is identical to V A in the dissociation limit. Equation ( 7) can be implemented by a modified VBSCF route [42]. To this end, the structure coefficients {C K } and orbitals {φ i } are optimized by minimizing…”
Section: Hxcmentioning
confidence: 99%
“…In a similar fashion, the strategy of hybrid VB theory with DFT has been implemented, such as VBDFT(s) [35][36][37][38], VB-DFT [39], and DFVB [40][41][42]. Recently, a newly developed MRDFT scheme based on the valence bond wave function, namely the λ-density functional valence bond (λ-DFVB) method [42], was presented. This method is inspired by the MC1H approximation proposed by Sharkas et al [22].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…[42] using a hybrid scheme, hereafter denoted as v2RDM‐DOCI‐ λ PDFT, given by the following equation lefttrueEv2RDMDOCIλPDFT()g=false∑i,jvji1trueD˜ji+λfalse∑i,j,k,lwitalicjlitalicik2trueD˜italicjlitalicik1Dfalse˜ji1trueD˜lk+false∑i,j,k,lwjlik1Dfalse˜ji1trueD˜lk+1λEnormalXρboldrΠboldr+1λ2EnormalCρboldrΠboldr where the E X and E C functionals are the exchange and correlation terms, respectively. [ 43 ] The hybrid parameter, λ ∈ [0, 1], balances the contributions of the v2RDM‐DOCI and PDFT schemes according to the nature of the system described. Equation ) constitutes an improvement of the treatment represented by Equation ) and can be particularly recommended when very strongly correlated systems are considered.…”
Section: Theorymentioning
confidence: 99%
“…where the E X and E C functionals are the exchange and correlation terms, respectively. [43] The hybrid parameter, λ ∈ [0, 1], balances the contributions of the v2RDM-DOCI and PDFT schemes according to the nature of the system described. Equation (10) constitutes an improvement of the treatment represented by Equation ( 8) and can be particularly recommended when very strongly correlated systems are considered.…”
Section: Theorymentioning
confidence: 99%