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  Density-functional-theory approach to the Hamiltonian adaptive resolution simulation method

Baptista, L. A., Dutta, R. C., Sevilla, M., Heidari, M., Potestio, R., Kremer, K., et al. (2021). Density-functional-theory approach to the Hamiltonian adaptive resolution simulation method. Journal of Physics: Condensed Matter, 33(18): 184003. doi:10.1088/1361-648X/abed1d.

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Baptista_2021_J._Phys. _Condens._Matter_33_184003.pdf (Publisher version), 4MB
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 Creators:
Baptista, Luis André1, Author              
Dutta, Ravi Chandra1, Author              
Sevilla, Maurizio1, Author              
Heidari, Maziar1, Author              
Potestio, Raffaello2, 3, Author              
Kremer, Kurt1, Author              
Cortes Huerto, Robinson1, Author              
Affiliations:
1Dept. Kremer: Polymer Theory, MPI for Polymer Research, Max Planck Society, ou_1800287              
2Physics Department, University of Trento, Trento, Italy, ou_persistent22              
3INFN-TIFPA, Trento Institute for Fundamental Physics and Applications, Trento, Italy, ou_persistent22              

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Language(s): eng - English
 Dates: 2024-04-232021-05-05
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1088/1361-648X/abed1d
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Title: Journal of Physics: Condensed Matter
  Abbreviation : J. Phys. Condens. Matter.
Source Genre: Journal
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Publ. Info: Bristol : IOP Publishing
Pages: - Volume / Issue: 33 (18) Sequence Number: 184003 Start / End Page: - Identifier: ISSN: 0953-8984
CoNE: https://pure.mpg.de/cone/journals/resource/954928562478