Evidence map›Paper›PMID 40333764›Full record

ReviewMolecules (Basel, Switzerland)2025

Research Progress on Micro/Nanopore Flow Behavior.

Jinbo Yu, Meng Du, Yapu Zhang, Xinliang Chen, Zhengming Yang

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Jinbo YuUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Meng DuUniversity of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0009-0005-4587-4523
Yapu ZhangInstitute of Porous Flow and Fluid Mechanics, Chinese Academy of Sciences, Langfang 065007, China.
Xinliang ChenUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Zhengming YangInstitute of Porous Flow and Fluid Mechanics, Chinese Academy of Sciences, Langfang 065007, China.

Funding

China Petroleum Major Project 2021DJ1102Scientific Research and Technology Development Project of China National Petroleum Corpora-tion 2023ZZ04-01
6 · The paper itself

Abstract

Fluid flow in microporous and nanoporous media exhibits unique behaviors that deviate from classical continuum predictions due to dominant surface forces at small scales. Understanding these microscale flow mechanisms is critical for optimizing unconventional reservoir recovery and other energy applications. This review provides a comparative analysis of the existing literature, highlighting key advances in experimental techniques, theoretical models, and numerical simulations. We discuss how innovative micro/nanofluidic devices and high-resolution imaging methods now enable direct observation of confined flow phenomena, such as slip flow, phase transitions, and non-Darcy behavior. Recent theoretical models have clarified scale-dependent flow regimes by distinguishing microscale effects from macroscopic Darcy flow. Likewise, advanced numerical simulations-including molecular dynamics (MD), lattice Boltzmann methods (LBM), and hybrid multiscale frameworks-capture complex fluid-solid interactions and multiphase dynamics under realistic pressure and wettability conditions. Moreover, the integration of artificial intelligence (e.g., data-driven modeling and physics-informed neural networks) is accelerating data interpretation and multiscale modeling, offering improved predictive capabilities. Through this critical review, key phenomena, such as adsorption layers, fluid-solid interactions, and pore surface heterogeneity, are examined across studies, and persistent challenges are identified. Despite notable progress, challenges remain in replicating true reservoir conditions, bridging microscale and continuum models, and fully characterizing multiphase interface dynamics. By consolidating recent progress and perspectives, this review not only summarizes the state-of-the-art but underscores remaining knowledge gaps and future directions in micro/nanopore flow research.

Indexed as

artificial intelligenceconfined flow behaviorexperimental researchlattice Boltzmann methodmicroseepagemolecular dynamics simulationnanoporous mediapore-scale modeling

Identifiers

PMID40333764
PMCPMC12029943

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.