2004
DOI: 10.1002/jcc.20072
|View full text |Cite
|
Sign up to set email alerts
|

Improving the efficiency and convergence of geometry optimization with the polarizable continuum model: New energy gradients and molecular surface tessellation

Abstract: New equations are derived and implemented for efficient and accurate computation of solvation energy derivatives for the conductor-like polarizable continuum model (C-PCM) and the isotropic integral equation formalism polarizable continuum model (IEF-PCM). Two new molecular surface tessellation procedures GEPOL-RT and GEPOL-AS that generate near continuous potential energy surfaces are proposed for PCM geometry optimization. The combined use of these new techniques leads to efficient and convergent geometry op… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
146
0

Year Published

2004
2004
2011
2011

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 150 publications
(146 citation statements)
references
References 52 publications
0
146
0
Order By: Relevance
“…In this study only the conductorlike C-PCM, which in principle is applicable to conductors with = ϱ, is considered. However, it is common 11,16,17 to use C-PCM for solvents with Ͻϱ via simply scaling the apparent surface charges by a factor, selected to be ͑ −1͒ / in this study. Then, the energy and gradient expressions contain corresponding scaling factors.…”
Section: B Pcmmentioning
confidence: 99%
See 4 more Smart Citations
“…In this study only the conductorlike C-PCM, which in principle is applicable to conductors with = ϱ, is considered. However, it is common 11,16,17 to use C-PCM for solvents with Ͻϱ via simply scaling the apparent surface charges by a factor, selected to be ͑ −1͒ / in this study. Then, the energy and gradient expressions contain corresponding scaling factors.…”
Section: B Pcmmentioning
confidence: 99%
“…The details of the approximation and simplification can be found in Ref. 17. The approximate PCM solvation energy gradients are sufficient for molecular geometry optimization and Hessian analyses.…”
Section: B Pcmmentioning
confidence: 99%
See 3 more Smart Citations