Artificial Intelligence in Aeroacoustics for Aerospace Applications

Dear Colleagues,

The recent progress in data-driven science and engineering is making an impact in the multidisciplinary field of aerospace. Artificial intelligence and machine learning have been introduced in the aerospace field for applications connected to reducing environmental impacts, including testing and evaluation, data analysis and interpretation, and aircraft modelling. These techniques are also employed to generate databases at a reduced cost, which are needed for the solution of optimization problems. With particular regard to aeroacoustics, artificial intelligence can help to address the issues of noise prediction, buffeting and fluid–structure interaction, aeroacoustic optimization, and noise localization.

This Special Issue welcomes papers on analytical, computational, or experimental studies contributing to the state of the art on the use of artificial intelligence in aeroacoustics, including topics such as:

• New aircraft configurations aimed at reducing noise and pollution emissions;
• Novel active or passive flow control techniques for noise reduction;
• Numerical methods for aeroacoustic modeling;
• Buffeting and wall pressure fluctuations;
• Physical-informed neural networks applied to aeroacoustics.

Finally, we would like to thank Dr. Giorgia Capobianchi for her valuable work in assisting us with this Special Issue.

Dr. Alessandro Di Marco
Dr. Elisa De Paola
Dr. Luana Georgiana Stoica
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.

• aeroacoustics
• machine learning
• artificial intelligence
• noise reduction
• noise prediction
• noise localization
• buffeting
• wall pressure fluctuations