Evidence map›Paper›PMID 28571326›Full record

ArticleThe Journal of chemical physics2017

Anomalous barrier escape: The roles of noise distribution and correlation.

Meng Hu, Jia-Ming Zhang, Jing-Dong Bao

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Meng HuDepartment of Physics, Beijing Normal University, Beijing 100875, People's Republic of China.
Jia-Ming ZhangDepartment of Physics, Beijing Normal University, Beijing 100875, People's Republic of China.
Jing-Dong BaoDepartment of Physics, Beijing Normal University, Beijing 100875, People's Republic of China.

Funding

Wellcome Trust
6 · The paper itself

Abstract

We study numerically and analytically the barrier escape dynamics of a particle driven by an underlying correlated Lévy noise for a smooth metastable potential. A "quasi-monochrome-color" Lévy noise, i.e., the first-order derivative variable of a linear second-order differential equation subjected to a symmetric α-stable white Lévy noise, also called the harmonic velocity Lévy noise, is proposed. Note that the time-integral of the noise Green function of this kind is equal to zero. This leads to the existence of underlying negative time correlation and implies that a step in one direction is likely followed by a step in the other direction. By using the noise of this kind as a driving source, we discuss the competition between long flights and underlying negative correlations in the metastable dynamics. The quite rich behaviors in the parameter space including an optimum α for the stationary escape rate have been found. Remarkably, slow diffusion does not decrease the stationary rate while a negative correlation increases net escape. An approximate expression for the Lévy-Kramers rate is obtained to support the numerically observed dependencies.

Identifiers

PMID28571326
PMCPMC5440235

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.