Estimation of diffusive states from single-particle trajectory in heterogeneous medium using machine-learning methods-Reference-Cited by-同舟云学术

Estimation of diffusive states from single-particle trajectory in heterogeneous medium using machine-learning methods

Published:2018 Issue:37 Volume:20 Page:24099-24108
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Matsuda Yu¹²³^ORCID,Hanasaki Itsuo⁴⁵³^ORCID,Iwao Ryo⁶⁷³,Yamaguchi Hiroki⁶⁷³^ORCID,Niimi Tomohide⁶⁷³

Affiliation:

1. Department of Modern Mechanical Engineering, Waseda University, 3-4-1 Ookubo, Shinjuku-ku

2. Tokyo 169-8555

3. Japan

4. Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Naka-cho 2-24-16, Koganei

5. Tokyo 184-8588

6. Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Furo-cho, Chikusa

7. Nagoya

Abstract

We propose a novel approach to analyze random walks in heterogeneous medium using a hybrid machine-learning method based on a gamma mixture and a hidden Markov model.

Funder

Asahi Glass Foundation

Japan Society for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2018/CP/C8CP02566E

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