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of 3
pro vyhledávání: '"Vladimir Koskin"'
Autor:
Vladimir Koskin, Adam Kells, Joe Clayton, Alexander K. Hartmann, Alessia Annibale, Edina Rosta
Publikováno v:
Koskin, V, Kells, A, Clayton, J, Hartmann, A K, Annibale, A & Rosta, E 2023, ' Variational Kinetic Clustering of Complex Networks ', Journal of Chemical Physics, vol. 158, no. 10, 104112 . https://doi.org/10.1063/5.0105099
Efficiently identifying the most important communities and key transition nodes in weighted and unweighted networks is a prevalent problem in a wide range of disciplines. Here, we focus on the optimal clustering using variational kinetic parameters,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afcc95ff015fd0a709c3f553a027437d
https://kclpure.kcl.ac.uk/en/publications/59db375e-42b1-49ad-897e-7f80658600c5
https://kclpure.kcl.ac.uk/en/publications/59db375e-42b1-49ad-897e-7f80658600c5
Publikováno v:
The Journal of Chemical Physics
Kells, A, Koskin, V, Rosta, E & Annibale, A 2020, ' Correlation Functions, Mean First Passage Times and the Kemeny Constant ', Journal of Chemical Physics, vol. 152, no. 10, 104108, pp. 1-13 . https://doi.org/10.1063/1.5143504
Kells, A, Koskin, V, Rosta, E & Annibale, A 2020, ' Correlation Functions, Mean First Passage Times and the Kemeny Constant ', Journal of Chemical Physics, vol. 152, no. 10, 104108, pp. 1-13 . https://doi.org/10.1063/1.5143504
Markov processes are widely used models for investigating kinetic networks. Here we collate and present a variety of results pertaining to kinetic network models, in a unified framework. The aim is to lay out explicit links between several important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8282556ecc4df344976a13498b6e5ae4
Publikováno v:
Journal of Chemical Theory and Computation. 17(4):2022-2033
A variety of enhanced statistical and numerical methods are now routinely used to extract important thermodynamic and kinetic information from the vast amount of complex, high-dimensional data obtained from molecular simulations. For the characteriza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a228f377db70e4c7622d411af459d4f4