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  Automated detection of many-particle solvation states for accurate characterizations of diffusion kinetics

Rudzinski, J. F., Radu, M., & Bereau, T. (2019). Automated detection of many-particle solvation states for accurate characterizations of diffusion kinetics. The Journal of Chemical Physics, 150(2): 024102. doi:10.1063/1.5064808.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-ED2E-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-D9DF-C
Genre: Journal Article

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1.5064808.pdf (Publisher version), 3MB
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2019
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 Creators:
Rudzinski, Joseph F.1, 2, Author              
Radu, Marc1, Author              
Bereau, Tristan1, 2, Author              
Affiliations:
1Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society, ou_1800287              
2Emmy Noether Group Bereau: Biomolecular Simulations, MPI for Polymer Research, Max Planck Society, ou_2344697              

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Language(s): eng - English
 Dates: 2019-01-082019
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1063/1.5064808
 Degree: -

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Project name : MOLPROCOMP
Grant ID : 340906
Funding program : FP7-IDEAS-ERC (FP7)
Funding organization : European Commission (EC)

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Title: The Journal of Chemical Physics
  Other : J. Chem. Phys.
Source Genre: Journal
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Publ. Info: Woodbury, N.Y. : American Institute of Physics
Pages: - Volume / Issue: 150 (2) Sequence Number: 024102 Start / End Page: - Identifier: ISSN: 0021-9606
CoNE: https://pure.mpg.de/cone/journals/resource/954922836226