Advances in Computational Intelligence for Environmental Fluid Mechanics

Dear Colleagues,

The increasing complexity of environmental fluid mechanics problems—from urban air quality and atmospheric dispersion to renewable energy integration—demands a paradigm shift beyond conventional modelling approaches. Traditional computational fluid dynamics (CFD) and numerical simulations, while powerful, often struggle with high computational costs, real-time prediction and the inversion of unknown source parameters from sparse sensor data. This Special Issue focuses on the transformative role of computational intelligence (CI) in addressing these challenges.

We invite contributions that leverage cutting-edge CI techniques—including, but not limited to, machine learning, deep learning, graph neural networks (GNN), physics-informed neural networks (PINN) and high-performance computing (HPC)—to advance environmental fluid mechanics. Topics of interest include, but are not limited to, AI-driven surrogate models for turbulent flows and dispersion; inverse modelling for source term estimation in urban or industrial accidents; physics–ML hybrid frameworks for Navier–Stokes and porous media (Darcy) flows; unsupervised clustering for 3D environmental data (e.g., pore/graph networks); probabilistic forecasting of extreme wind or pollution events and AI-enhanced risk assessment for hazardous releases and climate-resilient infrastructure.

The goal is to bring together researchers and practitioners to present novel methodologies that offer reliability, speed and physical consistency. We welcome original research articles, reviews and case studies demonstrating how CI can unlock new capabilities in environmental prediction, exposure assessment and sustainable energy applications.

Dr. George Efthimiou
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.