Increase in rod diffusivity emerges even in Markovian nature

[2301.02394] Increase in rod diffusivity emerges even in Markovian nature Skip to main content Search Submit Donate Log in Condensed Matter > Statistical Mechanics arXiv:2301.02394 (cond-mat) [Submitted on 6 Jan 2023 ( v1 ), last revised 23 Mar 2023 (this version, v2)] Title: Increase in rod diffusivity emerges even in Markovian nature Authors: Fumiaki Nakai , Martin Kröger , Takato Ishida , Takashi Uneyama , Yuya Doi , Yuichi Masubuchi View PDF HTML (experimental) Abstract: Rod-shaped particles embedded in certain matrices have been reported to exhibit an increase in their center of mass diffusivity upon increasing the matrix density. This increase has been considered to be caused by a kinetic constraint in analogy with tube models. We investigate a mobile rod-like particle in a sea of immobile point obstacles using a kinetic Monte Carlo scheme equipped with a Markovian process, that generates gas-like collision statistics, so that such kinetic constraints do essentially not exist. Even in such a system, provided the particle's aspect ratio exceeds a threshold value of about 24, the unusual increase in the rod diffusivity emerges. This result implies that the kinetic constraint is not a necessary condition for the increase in the diffusivity. Comments: 9 pages, 10 figures Subjects: Statistical Mechanics (cond-mat.stat-mech) ; Soft Condensed Matter (cond-mat.soft) Cite as: arXiv:2301.02394 [cond-mat.stat-mech] (or arXiv:2301.02394v2 [cond-mat.stat-mech] for this version) https://doi.org/10.48550/arXiv.2301.02394 Focus to learn more arXiv-issued DOI via DataCite Journal reference: Phys. Rev. E 107, 044604 (2023) Related DOI : https://doi.org/10.1103/PhysRevE.107.044604 Focus to learn more DOI(s) linking to related resources Submission history From: Fumiaki Nakai [ view email ] [v1] Fri, 6 Jan 2023 06:08:43 UTC (236 KB) [v2] Thu, 23 Mar 2023 09:05:42 UTC (524 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: cond-mat.stat-mech < prev | next > new | recent | 2023-01 Change to browse by: cond-mat cond-mat.soft References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

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