Application of Artificial Intelligence in Marine Machinery Engineering
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 322
Special Issue Editors
Interests: overall design of underwater vehicles; intelligent fluid mechanics; experimental fluid mechanics; ice-breaking mechanics of polar submarines; hydrodynamic performance analysis
Interests: design of underwater unmanned systems; computational fluid dynamics; drag reduction; interfacial phenomenon
Special Issues, Collections and Topics in MDPI journals
Interests: hydrodynamics of underwater vehicles; bio-inspired propulsion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to a forthcoming Special Issue of the Machines entitled "Application of Artificial Intelligence in Marine Machinery Engineering."
Artificial intelligence (AI) has become an indispensable tool for solving real-world engineering challenges in ocean engineering. From optimizing marine structures and systems to enhancing the performance of underwater vehicles and surface vessels, AI offers transformative potential to improve operational efficiency, safety, and reliability. With advances in machine learning, deep learning, and data-driven modeling, AI provides the capability to tackle problems involving large datasets, real-time monitoring, and complex physical processes inherent in the marine environment.
This Special Issue aims to provide a platform for disseminating practical, AI-driven solutions to ocean engineering problems. This issue will emphasize AI's direct application in marine engineering practice, focusing on enhancing the design, monitoring, and maintenance of marine structures, underwater vehicles, subsea systems, and surface vessels. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- AI-based reduced-order modeling and prediction of ocean and offshore flow fields, supporting efficient analysis of complex hydrodynamic problems.
- Machine learning methods for flow field reconstruction and super-resolution, enabling accurate recovery from sparse measurements, coarse simulations, or experimental data.
- Data-driven and hybrid AI–physics modeling for unsteady and multi-scale flows, combining numerical simulations, experimental data, and field measurements.
- AI-assisted prediction and analysis of flow-induced phenomena, including wakes, vortices, and flow–structure interactions in offshore and marine systems.
- AI applications in flow control, including flow manipulation, drag and lift control, wake regulation, and hydrodynamic performance enhancement.
- AI applications in marine vehicle motion control and navigation, including learning-based control, guidance, and decision-making for autonomous surface and underwater vehicles.
- AI-driven underwater vision and target recognition, including object detection, tracking, and classification for inspection, monitoring, and autonomous underwater operations.
We look forward to receiving your contributions.
Dr. Pengcheng Ye
Dr. Dong Song
Dr. Yang Luo
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 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. Machines 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
- artificial intelligence
- deep learning
- physics-informed neural networks
- marine engineering
- underwater vehicle
- hydrodynamics numerical simulation
- design optimization
- motion control optimization
- target recognition
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
