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New general tools for constrained geometry optimizations

De Vico, Luca LU ; Olivucci, Massimo and Lindh, Roland LU (2005) In Journal of Chemical Theory and Computation 1(5). p.1029-1037
Abstract
A modification of the constrained geometry optimization method by Anglada and Bofill (Anglada, J. M.; Bofill, J. M. J. Comput. Chem. 1997, 18, 992-1003) is designed and implemented. The changes include the choice of projection, quasi-line-search, and the use of a Rational Function optimization approach rather than a reduced-restricted-quasi-Newton-Raphson method in the optimization step. Furthermore, we show how geometrical constrains can be implemented in an approach based on nonreclunclant curvilinear coordinates avoiding the inclusion of the constraints in the set of redundant coordinates used to define the internal coordinates. The behavior of the new implementation is demonstrated in geometry optimizations featuring single or multiple... (More)
A modification of the constrained geometry optimization method by Anglada and Bofill (Anglada, J. M.; Bofill, J. M. J. Comput. Chem. 1997, 18, 992-1003) is designed and implemented. The changes include the choice of projection, quasi-line-search, and the use of a Rational Function optimization approach rather than a reduced-restricted-quasi-Newton-Raphson method in the optimization step. Furthermore, we show how geometrical constrains can be implemented in an approach based on nonreclunclant curvilinear coordinates avoiding the inclusion of the constraints in the set of redundant coordinates used to define the internal coordinates. The behavior of the new implementation is demonstrated in geometry optimizations featuring single or multiple geometrical constraints (bond lengths, angles, etc.), optimizations on hyperspherical cross sections (as in the computation of steepest descent paths), and location of energy minima on the intersection subspace of two potential energy surfaces (i.e. minimum energy crossing points). In addition, a novel scheme to determine the crossing point geometrically nearest to a given molecular structure is proposed. (Less)
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published
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in
Journal of Chemical Theory and Computation
volume
1
issue
5
pages
1029 - 1037
publisher
The American Chemical Society (ACS)
external identifiers
  • wos:000231871500027
  • scopus:33750957169
  • pmid:26641918
ISSN
1549-9618
DOI
10.1021/ct0500949
language
English
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yes
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The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Chemical Physics (S) (011001060), Theoretical Chemistry (S) (011001039)
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4a6c0f1c-9505-4749-acf0-d7fac1ab2d81 (old id 152701)
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2016-04-01 12:15:13
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2020-11-22 06:55:58
@article{4a6c0f1c-9505-4749-acf0-d7fac1ab2d81,
  abstract     = {A modification of the constrained geometry optimization method by Anglada and Bofill (Anglada, J. M.; Bofill, J. M. J. Comput. Chem. 1997, 18, 992-1003) is designed and implemented. The changes include the choice of projection, quasi-line-search, and the use of a Rational Function optimization approach rather than a reduced-restricted-quasi-Newton-Raphson method in the optimization step. Furthermore, we show how geometrical constrains can be implemented in an approach based on nonreclunclant curvilinear coordinates avoiding the inclusion of the constraints in the set of redundant coordinates used to define the internal coordinates. The behavior of the new implementation is demonstrated in geometry optimizations featuring single or multiple geometrical constraints (bond lengths, angles, etc.), optimizations on hyperspherical cross sections (as in the computation of steepest descent paths), and location of energy minima on the intersection subspace of two potential energy surfaces (i.e. minimum energy crossing points). In addition, a novel scheme to determine the crossing point geometrically nearest to a given molecular structure is proposed.},
  author       = {De Vico, Luca and Olivucci, Massimo and Lindh, Roland},
  issn         = {1549-9618},
  language     = {eng},
  number       = {5},
  pages        = {1029--1037},
  publisher    = {The American Chemical Society (ACS)},
  series       = {Journal of Chemical Theory and Computation},
  title        = {New general tools for constrained geometry optimizations},
  url          = {http://dx.doi.org/10.1021/ct0500949},
  doi          = {10.1021/ct0500949},
  volume       = {1},
  year         = {2005},
}