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  Predicting the Supramolecular Assembly of Amphiphilic Peptides from Comprehensive Coarse-Grained Simulations

Chakraborty, S., Berac, C. M., Urschbach, M., Spitzer, D., Mezger, M., Besenius, P., et al. (2022). Predicting the Supramolecular Assembly of Amphiphilic Peptides from Comprehensive Coarse-Grained Simulations. ACS Applied Polymer Materials, 4(2), 822-831. doi:10.1021/acsapm.1c01208.

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 Creators:
Chakraborty, Saikat1, 2, Author              
Berac, Christian M.3, Author
Urschbach, Moritz3, Author
Spitzer, Daniel3, Author
Mezger, Markus4, 5, Author              
Besenius, Pol3, Author
Speck, Thomas1, Author
Affiliations:
1Johannes Gutenberg Univ Mainz, Inst Phys, Mainz, Germany, ou_persistent22              
2Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society, ou_1800287              
3Johannes Gutenbert Univ Mainz, Dept Chem, Mainz, Germany, ou_persistent22              
4Dept. Butt: Physics at Interfaces, MPI for Polymer Research, Max Planck Society, ou_1800286              
5Univ Vienna, Fac Phys, Vienna, Austria, ou_persistent22              

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Language(s): eng - English
 Dates: 2022-01-152022-02-11
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1021/acsapm.1c01208
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Title: ACS Applied Polymer Materials
  Other : ACS appl. polym. mater.
Source Genre: Journal
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Publ. Info: Washington, DC : American Chemical Society
Pages: - Volume / Issue: 4 (2) Sequence Number: - Start / End Page: 822 - 831 Identifier: ISSN: 2637-6105
CoNE: https://pure.mpg.de/cone/journals/resource/2637-6105