ArticleJournal of heat transfer2017
Computational Models for Nanoscale Fluid Dynamics and Transport Inspired by Nonequilibrium Thermodynamics.
Article in Journal of heat transfer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed.
- Mechanical regulation of extracellular vesicle activity during tumour progression.Nature biomedical engineering · 2025Review
- Multiphysics pharmacokinetic model for targeted nanoparticles.Frontiers in medical technology · 2022Article
- A survey of multiscale modeling: Foundations, historical milestones, current status, and future prospects.AIChE journal. American Institute of Chemical Engineers · 2021Article
- Multiscale modeling of protein membrane interactions for nanoparticle targeting in drug delivery.Current opinion in structural biology · 2020Review
- Article
- Nanofluid Dynamics of Flexible Polymeric Nanoparticles Under Wall Confinement.Journal of heat transfer · 2019Article
- Motion of a nano-spheroid in a cylindrical vessel flow: Brownian and hydrodynamic interactions.Journal of fluid mechanics · 2017Article
- Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Traditionally, the numerical computation of particle motion in a fluid is resolved through computational fluid dynamics (CFD). However, resolving the motion of nanoparticles poses additional challenges due to the coupling between the Brownian and hydrodynamic forces. Here, we focus on the Brownian motion of a nanoparticle coupled to adhesive interactions and confining-wall-mediated hydrodynamic interactions. We discuss several techniques that are founded on the basis of combining CFD methods with the theory of nonequilibrium statistical mechanics in order to simultaneously conserve thermal equipartition and to show correct hydrodynamic correlations. These include the fluctuating hydrodynamics (FHD) method, the generalized Langevin method, the hybrid method, and the deterministic method. Through the examples discussed, we also show a top-down multiscale progression of temporal dynamics from the colloidal scales to the molecular scales, and the associated fluctuations, hydrodynamic correlations. While the motivation and the examples discussed here pertain to nanoscale fluid dynamics and mass transport, the methodologies presented are rather general and can be easily adopted to applications in convective heat transfer.
Identifiers
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Registered trials
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.