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Modeling aggregation processes of Lennard-Jones particles via stochastic networks

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Publication:2410297
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DOI10.1007/s10955-017-1794-yzbMath1376.82058arXiv1612.09599OpenAlexW2569803881MaRDI QIDQ2410297

Maria Kourkina Cameron, Yakir Forman

Publication date: 17 October 2017

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1612.09599


zbMATH Keywords

aggregationcontinuous-time Markov chainLennard-Jonesattachment rateexpected initial and pre-attachment distribution


Mathematics Subject Classification ID

Interacting particle systems in time-dependent statistical mechanics (82C22) Continuous-time Markov processes on discrete state spaces (60J27)


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On the global minimum of the classical potential energy for clusters bound by many-body forces ⋮ Using Witten Laplacians to Locate Index-1 Saddle Points



Cites Work

  • Unnamed Item
  • Iterative minimization algorithm for efficient calculations of transition states
  • Flows in complex networks: theory, algorithms, and application to lennard-Jones cluster rearrangement
  • The gentlest ascent dynamics
  • Shrinking Dimer Dynamics and Its Applications to Saddle Point Search
  • Minimum action method for the study of rare events
  • On Using Hellinger Distance in Checking the Validity of Dynamic Approximations
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