ArticleACS omega2020
Computational Modeling of Transport in Porous Media Using an Adaptive Network-Based Fuzzy Inference System.
Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- CFD comparison of water based SiOScientific reports · 2025Article
- CFD comparison of novel [emim][DCA] and [emim][MS] ionic liquids for the separation of CO2 greenhouse gas in the membrane contactor.Scientific reports · 2025Article
- Development of a CFD simulation for the analysis of COScientific reports · 2025Article
- Computational evaluation of micropores wetting effect on the removal process of COScientific reports · 2025Article
- Article
- Numerical evaluation of sweeping gas membrane distillation for desalination of water towards water sustainability and environmental protection.Scientific reports · 2024Article
- Recent advancements toward the incremsent of drug solubility using environmentally-friendly supercritical COFrontiers in medicine · 2024Review
- Breakthrough applications of porous organic materials for membrane-based COFrontiers in chemistry · 2024Review
- State-of-the-Art Review on the Application of Membrane Bioreactors for Molecular Micro-Contaminant Removal from Aquatic Environment.Membranes · 2022Review
- Neural-based modeling adsorption capacity of metal organic framework materials with application in wastewater treatment.Scientific reports · 2022Article
- Fuzzy Logic, Artificial Neural Network, and Adaptive Neuro-Fuzzy Inference Methodology for Soft Computation and Modeling of Ion Sensing Data of a Terpyridyl-Imidazole Based Bifunctional Receptor.Frontiers in chemistry · 2022Article
- Thermal prediction of turbulent forced convection of nanofluid using computational fluid dynamics coupled genetic algorithm with fuzzy interface system.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This investigation is conducted to study the integration of the artificial intelligence (AI) method with computational fluid dynamics (CFD). The case study is hydrodynamic and heat-transfer analyses of water flow in a metal foam tube under a constant wall heat flux (i.e., 55 kW/m
Identifiers
What OpenQuestion holds
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.