2013
DOI: 10.1063/1.4789759
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Accelerated direct semiclassical molecular dynamics using a compact finite difference Hessian scheme

Abstract: This paper shows how a compact finite difference Hessian approximation scheme can be proficiently implemented into semiclassical initial value representation molecular dynamics. Effects of the approximation on the monodromy matrix calculation are tested by propagating initial sampling distributions to determine power spectra for analytic potential energy surfaces and for “on the fly” carbon dioxide direct dynamics. With the approximation scheme the computational cost is significantly reduced, making ab initio … Show more

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Cited by 55 publications
(67 citation statements)
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References 116 publications
(108 reference statements)
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“…58 Fitting methods such as Gaussian process regression or neural networks can accurately describe the local PES based on only a few points. These have been successfully applied to computing minimum-energy pathways 59 and recently also to instanton calculations.…”
Section: B Implementation Of Ab Initio Instanton Theorymentioning
confidence: 99%
“…58 Fitting methods such as Gaussian process regression or neural networks can accurately describe the local PES based on only a few points. These have been successfully applied to computing minimum-energy pathways 59 and recently also to instanton calculations.…”
Section: B Implementation Of Ab Initio Instanton Theorymentioning
confidence: 99%
“…It allows to perform on-the-fly semiclassical molecular dynamics simulations given a few input trajectories. [58][59][60][61][62][63][64][65] The approach is amenable to ab initio direct molecular dynamics, thus avoiding the effort to construct an accurate analytical potential energy surface which may be quite demanding especially for large systems, [66][67][68][69][70][71][72][73][74] and permits to faithfully reproduce quantum effects like quantum resonances, [60] intra-molecular and long-range dipole splittings, and the quantum resonant ammonia umbrella inversion. [62] Nevertheless, all SCIVR methods run out of steam when straightforwardly applied to problems involving large-sized systems.…”
Section: Introductionmentioning
confidence: 99%
“…36 This method is valid since the Hessians change rather smoothly along the trajectories. Comparison of the results of the Hessian update scheme with the numerically exact Hessians along a single trajectory shows that the update scheme leads to a typical error of 5%, which we believe is acceptable.…”
Section: A the Semiclassical Implementationmentioning
confidence: 98%