Quantum tunneling dynamics using entangled trajectories: general potentials

Literature Information

Publication Date 2009-01-19
DOI 10.1039/B811509E
Impact Factor 3.676
Authors

Yujun Zheng, Craig C. Martens, Weiyi Ren


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Abstract

In this paper, we develop the formalism of entangled trajectory molecular dynamics (ETMD), introduced by Donoso and Martens [Phys. Rev. Lett. 2001, 87, 223202] in a form applicable to the treatment of general (i.e., nonpolynomial) potentials. We formulate our approach directly in terms of the integrodifferential equation obeyed by the Wigner function, without assuming a Taylor series expansion of the potential in powers of the coordinate. This alternative formalism has distinct advantages for propagating distribution functions represented by finite trajectory ensembles and for nonpolynomial potentials. We use a numerical implementation of the new approach to calculate the reaction probabilities for three model systems: the cubic polynomial potential, symmetric Eckart barrier and asymmetric Eckart barrier. Our results are in excellent agreement with the results of exact quantum calculation.

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DOI: 10.1039/C4PY90072C

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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