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The DOI matches its Crossref record; 164 of the 164 references it cites were found in a registry or an index.

Perspective: Dissipative particle dynamics

Open access
Español, Pep, Warren, Patrick B.·2017·The Journal of Chemical Physics

Abstract

Dissipative particle dynamics (DPD) belongs to a class of models and computational algorithms developed to address mesoscale problems in complex fluids and soft matter in general. It is based on the notion of particles that represent coarse-grained portions of the system under study and allow, therefore, reaching time and length scales that would be otherwise unreachable from microscopic simulations. The method has been conceptually refined since its introduction almost twenty five years ago. This perspective surveys the major conceptual improvements in the original DPD model, along with its microscopic foundation, and discusses outstanding challenges in the field. We summarize some recent advances and suggest avenues for future developments.

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Metadata

Authors
Español, P., & Warren, P. B.
Venue
The Journal of Chemical Physics
Published
2017-04-17
Volume
146
Issue
15
Pages
150901-150901
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2580325886
Cited by
578
References
164
FWCI
36.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Perspective: Dissipative particle dynamics. https://app.cochat.ai/papers/10.1063/1.4979514
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Español, P., & Warren, P. B. (2017). Perspective: Dissipative particle dynamics. The Journal of Chemical Physics. https://doi.org/10.1063/1.4979514

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.