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A dimer method for finding saddle points on high dimensional potential surfaces using only first derivatives

The Journal of Chemical Physics · 1999 · Vol. 111(15) · pp. 7010–7022
Graeme HenkelmanHannes Jónsson

Abstract

The problem of determining which activated (and slow) transitions can occur from a given initial state at a finite temperature is addressed. In the harmonic approximation to transition state theory this problem reduces to finding the set of low lying saddle points at the boundary of the potential energy basin associated with the initial state, as well as the relevant vibrational frequencies. Also, when full transition state theory calculations are carried out, it can be useful to know the location of the saddle points on the potential energy surface. A method for finding saddle points without knowledge of the final state of the transition is described. The method only makes use of first derivatives of the potential energy and is, therefore, applicable in situations where second derivatives are too costly or too tedious to evaluate, for example, in plane wave based density functional theory calculations. It is also designed to scale efficiently with the dimensionality of the system and can be applied to very large systems when empirical or semiempirical methods are used to obtain the atomic forces. The method can be started from the potential minimum representing the initial state, or from an initial guess closer to the saddle point. An application to Al adatom diffusion on an Al(100) surface described by an embedded atom method potential is presented. A large number of saddle points were found for adatom diffusion and dimer/vacancy formation. A surprisingly low energy four atom exchange process was found as well as processes indicative of local hex reconstruction of the surface layer.

Advanced Chemical Physics StudiesMolecular Junctions and NanostructuresSurface and Thin Film PhenomenaSaddle pointPotential energy surfaceSaddleTransition state theoryTransition stateDensity functional theoryPotential energyStatistical physicsAtom (system on chip)Physics

Funding

  • National Science Foundation
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