Abstract
The paper reflects on the future role of artificial intelligence (AI) in scientific research, with a special focus on turbulence studies, and examines the evolution of AI, particularly through Diffusion Models rooted in non-equilibrium statistical mechanics. It underscores the significant impact of AI on advancing reduced, Lagrangian models of turbulence through innovative use of Deep Neural Networks. Additionally, the paper reviews various other AI applications in turbulence research and outlines potential challenges and opportunities in the concurrent advancement of AI and statistical hydrodynamics. This discussion sets the stage for a future where AI and turbulence research are intricately intertwined, leading to more profound insights and advancements in both fields.
| Original language | English (US) |
|---|---|
| Article number | 333001 |
| Journal | Journal of Physics A: Mathematical and Theoretical |
| Volume | 57 |
| Issue number | 33 |
| DOIs | |
| State | Published - Sep 6 2024 |
Keywords
- artificial intelligence
- statistical mechanics
- theoretical physics
- turbulence
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Statistics and Probability
- Modeling and Simulation
- Mathematical Physics
- General Physics and Astronomy