Machine Learning for Aerodynamic Analysis and Optimization
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 23
Special Issue Editors
Interests: machine learning technologies in aerodynamic studies and optimizations; adaptive sampling methods; surrogate model assisted optimization; reinforcement learning
Interests: aerodynamics; structures; aeroelasticity; model reduction; control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue brings together cutting-edge research at the intersection of aerospace engineering and machine learning, with a focus on advancing aerodynamic analysis and optimization. While data-driven models have shown remarkable promise in reducing computational cost and accelerating design, their adoption in real-world aerospace applications depends on more than just accuracy. Physics-driven approaches are key to enhancing interpretability, generality, and reliability, ensuring that machine learning methods remain consistent with the fundamental laws of aerodynamics.
The contributions in this Special Issue highlight novel frameworks that integrate physics-driven approaches, enable robust predictions across diverse flow regimes, and extend learning-based methods from simplified cases to realistic three-dimensional aircraft configurations. Beyond prediction, we also emphasize the role of machine learning in guiding aerodynamic design and optimization, opening new pathways for innovation in aircraft performance, efficiency, and sustainability.
This Special Issue serves both as a resource for researchers developing new data-driven and physics-driven techniques and as a guide for practitioners seeking reliable, interpretable, and scalable tools for aerospace applications.
Dr. Runze Li
Dr. Andrea Da-Ronch
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Aerospace 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 2400 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.
Dr. Runze Li
Dr. Andrea Da-Ronch
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Aerospace 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 2400 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
- aerodynamics
- machine learning
- physics-driven
- generality
- interpretability
- reliability
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