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  Efficient Approximation of Molecular Kinetics using Random Fourier Features

Nüske, F., & Klus, S. (2023). Efficient Approximation of Molecular Kinetics using Random Fourier Features. The Journal of Chemical Physics, 159(7): 074105. doi:10.1063/5.0162619.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-5BEA-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-7B51-D
Genre: Journal Article

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 Creators:
Nüske, Feliks1, Author           
Klus, Stefan2, Author
Affiliations:
1Data-driven Modeling of Complex Physical Systems, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_3366463              
2Heriot–Watt University, Edinburgh, United Kingdom, ou_persistent22              

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 Dates: 2023-06-012023-06-152023
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: arXiv: 2306.00849
DOI: 10.1063/5.0162619
Other: pubdata_escidoc:3516981
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Title: The Journal of Chemical Physics
  Abbreviation : J. Chem. Phys.
Source Genre: Journal
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Pages: - Volume / Issue: 159 (7) Sequence Number: 074105 Start / End Page: - Identifier: ISSN: 0021-9606
CoNE: https://pure.mpg.de/cone/journals/resource/954922836226