Evidence map›Paper›PMID 26156459›Full record

ArticleThe Journal of chemical physics2015

Transport dissipative particle dynamics model for mesoscopic advection-diffusion-reaction problems.

Zhen Li, Alireza Yazdani, Alexandre Tartakovsky, George Em Karniadakis

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Mesoscale Simulations of Blood Coagulation in Flow and Quiescent Domains Using SDPD.International journal for numerical methods in biomedical engineering · 2026
    Article
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  10. A MODELING AND SIMULATION LANGUAGE FOR BIOLOGICAL CELLS WITH COUPLED MECHANICAL AND CHEMICAL PROCESSES.Symposium on Theory of Modeling & Simulation : DEVS Integrative M&S Symposium (TMS-DEVS). Symposium on Theory of Modeling and Simulation · 2017
    Article
  11. Systems Analysis of Thrombus Formation.Circulation research · 2016
    Review
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  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhen LiDivision of Applied Mathematics, Brown University, Providence, Rhode Island 02912, USA.
Alireza YazdaniDivision of Applied Mathematics, Brown University, Providence, Rhode Island 02912, USA.
Alexandre TartakovskyComputational Mathematics Group, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
George Em KarniadakisDivision of Applied Mathematics, Brown University, Providence, Rhode Island 02912, USA.

Funding

Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic DissectionU01HL116323 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2013 to 2017
$2.4M
NHLBI NIH HHS 1U01HL116323-01NHLBI NIH HHS U01 HL116323
6 · The paper itself

Abstract

We present a transport dissipative particle dynamics (tDPD) model for simulating mesoscopic problems involving advection-diffusion-reaction (ADR) processes, along with a methodology for implementation of the correct Dirichlet and Neumann boundary conditions in tDPD simulations. tDPD is an extension of the classic dissipative particle dynamics (DPD) framework with extra variables for describing the evolution of concentration fields. The transport of concentration is modeled by a Fickian flux and a random flux between tDPD particles, and the advection is implicitly considered by the movements of these Lagrangian particles. An analytical formula is proposed to relate the tDPD parameters to the effective diffusion coefficient. To validate the present tDPD model and the boundary conditions, we perform three tDPD simulations of one-dimensional diffusion with different boundary conditions, and the results show excellent agreement with the theoretical solutions. We also performed two-dimensional simulations of ADR systems and the tDPD simulations agree well with the results obtained by the spectral element method. Finally, we present an application of the tDPD model to the dynamic process of blood coagulation involving 25 reacting species in order to demonstrate the potential of tDPD in simulating biological dynamics at the mesoscale. We find that the tDPD solution of this comprehensive 25-species coagulation model is only twice as computationally expensive as the conventional DPD simulation of the hydrodynamics only, which is a significant advantage over available continuum solvers.

Indexed as

DiffusionModels, Theoretical

Identifiers

PMID26156459
PMCPMC4491025

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.