DOAJ Open Access 2023

Can Artificial Intelligence Accelerate Fluid Mechanics Research?

Dimitris Drikakis Filippos Sofos

Abstrak

The significant growth of artificial intelligence (AI) methods in machine learning (ML) and deep learning (DL) has opened opportunities for fluid dynamics and its applications in science, engineering and medicine. Developing AI methods for fluid dynamics encompass different challenges than applications with massive data, such as the Internet of Things. For many scientific, engineering and biomedical problems, the data are not massive, which poses limitations and algorithmic challenges. This paper reviews ML and DL research for fluid dynamics, presents algorithmic challenges and discusses potential future directions.

Topik & Kata Kunci

Thermodynamics Descriptive and experimental mechanics

Penulis (2)

Dimitris Drikakis

Filippos Sofos

Format Sitasi

APA MLA BibTeX

Drikakis, D., Sofos, F. (2023). Can Artificial Intelligence Accelerate Fluid Mechanics Research?. https://doi.org/10.3390/fluids8070212

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.3390/fluids8070212
Akses: Open Access ✓