Machine Learning and Artificial Intelligence in Fluid Mechanics, 2nd Edition
A special issue of Fluids (ISSN 2311-5521).
Deadline for manuscript submissions: 31 August 2026 | Viewed by 38
Special Issue Editor
Interests: machine learning; symbolic regression; computational hydraulics; molecular dynamics; smoothed-particle hydrodynamics; multiscale modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fluid mechanics research has evolved over the past few years toward exploiting massive amounts of data generated from knowledge gathered thus far, either from experimental measurements or simulations. The application of novel machine learning (ML) techniques is currently a trend in the field and is almost standardized. Computational boosting, advanced turbulence modeling, scale bridging, hybrid simulation schemes, and flow feature extraction are concepts that scientists and engineers must address.
This Special Issue aims to bring together data science methods and advanced artificial intelligence and machine learning techniques to apply them to popular fluid mechanics problems in an alternative, though effective and accurate, manner, strictly bound to the physical problem.
We encourage authors to submit works addressing topics including, but not limited to, physics-inspired neural networks, intelligent fluid dynamics, scientific machine learning, explainable and trustworthy artificial intelligence, symbolic regression and evolutionary algorithms, and unsupervised machine learning and clustering, with a focus on fluid mechanics applications.
Dr. Filippos Sofos
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fluids 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.
Keywords
- machine learning
- data-driven fluid mechanics
- turbulence modeling
- reduced-order CFD
- neural networks
- symbolic regression
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Related Special Issue
- Machine Learning and Artificial Intelligence in Fluid Mechanics in Fluids (17 articles)
