2004
DOI: 10.1023/b:jomc.0000044524.48281.2d
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Newton Trajectories in the Curvilinear Metric of Internal Coordinates

Abstract: The reaction path is an important concept of theoretical chemistry. We discuss the definition with the help of the following of the reduced gradient (RGF) [see Quapp et al., Theoret. Chem. Acc. 100 (1998) 285], also named the Newton trajectory. All the important features of the potential energy surface are definable independently of the coordinate system. We demonstrate it for the Newton trajectory. We design a numerical scheme for the RGF method including the intrinsic curvilinear metric of internal coordin… Show more

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Cited by 21 publications
(16 citation statements)
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“…An alternative proof is given in Ref. 43. On the effective potential, V f (x), the stationary points are located at different points with respect to the unperturbed potential, V(x), where it holds ∇ x V (x) = g(x) = 0.…”
Section: Introductionmentioning
confidence: 99%
“…An alternative proof is given in Ref. 43. On the effective potential, V f (x), the stationary points are located at different points with respect to the unperturbed potential, V(x), where it holds ∇ x V (x) = g(x) = 0.…”
Section: Introductionmentioning
confidence: 99%
“…The correct application of internal coordinates then also enforces the inclusion of the non-Cartesian metric of internal coordinates. 30 Often the two kinds of curves, GE and IRC, are similar, and to relate a result to one of both is useless. In contrast, if both curves are different, 21,26 especially the SD is a solution of the projector eq.…”
Section: Resultsmentioning
confidence: 99%
“…Alternatively, one can choose a direction and perform a constrained optimization of the components of the gradient perpendicular to this direction. This is known variously as line‐then‐plane,126 reduced gradient following,127–129 and Newton trajectories 130–132. Growing string methods (GSM)131–136 are coordinate driving or reduced gradient following/Newton trajectory methods that start from both the reactant and product side.…”
Section: Special Considerations For Transition Structure Optimizationmentioning
confidence: 99%