Survival in a nanoforest of absorbing pillars.

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Title: Survival in a nanoforest of absorbing pillars.
Authors: Grebenkov, Denis S1 (AUTHOR) denis.grebenkov@polytechnique.edu, Skvortsov, Alexei T2 (AUTHOR)
Source: Journal of Physics A: Mathematical & Theoretical. 4/21/2023, Vol. 56 Issue 16, p1-28. 28p.
Subjects: Helmholtz equation, Eigenvalues
Abstract: We investigate the survival probability of a particle diffusing between two parallel reflecting planes toward a periodic array of absorbing pillars. We approximate the periodic cell of this system by a cylindrical tube containing a single pillar. Using a mode matching method, we obtain an exact solution of the modified Helmholtz equation in this domain that determines the Laplace transform of the survival probability and the associated distribution of first-passage times (FPTs). This solution reveals the respective roles of several geometric parameters: the height and radius of the pillar, the inter-pillar distance, and the distance between confining planes. This model allows us to explore different asymptotic regimes in the probability density of the FPT. In the practically relevant case of a large distance between confining planes, we argue that the mean FPT is much larger than the typical time and thus uninformative. We also illustrate the failure of the capacitance approximation for the principal eigenvalue of the Laplace operator. Some practical implications and future perspectives are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Physics A: Mathematical & Theoretical is the property of IOP Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Survival in a nanoforest of absorbing pillars.
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  Data: <searchLink fieldCode="AR" term="%22Grebenkov%2C+Denis+S%22">Grebenkov, Denis S</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> denis.grebenkov@polytechnique.edu</i><br /><searchLink fieldCode="AR" term="%22Skvortsov%2C+Alexei+T%22">Skvortsov, Alexei T</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Physics+A%3A+Mathematical+%26+Theoretical%22">Journal of Physics A: Mathematical & Theoretical</searchLink>. 4/21/2023, Vol. 56 Issue 16, p1-28. 28p.
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  Data: We investigate the survival probability of a particle diffusing between two parallel reflecting planes toward a periodic array of absorbing pillars. We approximate the periodic cell of this system by a cylindrical tube containing a single pillar. Using a mode matching method, we obtain an exact solution of the modified Helmholtz equation in this domain that determines the Laplace transform of the survival probability and the associated distribution of first-passage times (FPTs). This solution reveals the respective roles of several geometric parameters: the height and radius of the pillar, the inter-pillar distance, and the distance between confining planes. This model allows us to explore different asymptotic regimes in the probability density of the FPT. In the practically relevant case of a large distance between confining planes, we argue that the mean FPT is much larger than the typical time and thus uninformative. We also illustrate the failure of the capacitance approximation for the principal eigenvalue of the Laplace operator. Some practical implications and future perspectives are discussed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Physics A: Mathematical & Theoretical is the property of IOP Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1088/1751-8121/acc3cf
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      – Code: eng
        Text: English
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      – SubjectFull: Eigenvalues
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      – TitleFull: Survival in a nanoforest of absorbing pillars.
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            NameFull: Grebenkov, Denis S
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            NameFull: Skvortsov, Alexei T
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              Text: 4/21/2023
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              Y: 2023
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