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  Controlled exploration of chemical space by machine learning of coarse-grained representations

Hoffmann, C., Menichetti, R., Kanekal, K., & Bereau, T. (2019). Controlled exploration of chemical space by machine learning of coarse-grained representations. Physical Review E, 100(3): 033302. doi:10.1103/PhysRevE.100.033302.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-AF17-E Version Permalink: http://hdl.handle.net/21.11116/0000-0005-D9FF-8
Genre: Journal Article

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 Creators:
Hoffmann, Christian1, Author
Menichetti, Roberto1, Author              
Kanekal, Kiran1, 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: 20192019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1103/PhysRevE.100.033302
 Degree: -

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Title: Physical Review E
  Other : Phys. Rev. E
Source Genre: Journal
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Publ. Info: Melville, NY : American Physical Society
Pages: - Volume / Issue: 100 (3) Sequence Number: 033302 Start / End Page: - Identifier: ISSN: 1539-3755
CoNE: https://pure.mpg.de/cone/journals/resource/954925225012