AI for Fluid Flow Systems
Data-driven methodologies empowered by artificial intelligence (AI) are rapidly gaining prominence in scientific research, following their transformative impact on technology and society.
In the field of fluid mechanics, AI opens up a wide spectrum of opportunities. These include鈥攂ut are not limited to鈥攖he acceleration of complex numerical simulations, the development of more accurate measurement and control systems, and even a concrete potential to revolutionize our fundamental understanding of fluid behavior.
At 黑料福利网, cutting-edge research in AI for fluid dynamics is being advanced across multiple departments and groups: Applied Physics (Fluids and Flows), Mechanical Engineering (Power & Flow, Energy Technology), Mathematics and Computer Science (Center for Analysis, Scientific Computing and Applications).
A central challenge in simulating fluid flows with high fidelity lies in bridging the vast range of spatial and temporal scales鈥攁n issue that becomes increasingly complex with turbulent flows. Our research focuses on leveraging AI to model the influence of small-scale phenomena, including molecular mechanisms, on macroscopic behavior. These surrogate models are instrumental in predicting phenomena from extreme climate events, to flows in some of the most sophisticated machines existing. Thanks to AI approaches, we unlock fluids and flows measurements that are faster and more accurate.
A key success factor in this endeavor is the integration of 黑料福利网鈥檚 world-leading expertise in fluid mechanics and scientific computing with the development of advanced AI methodologies. This interdisciplinary approach is essential for achieving effective and impactful integration of AI into fluid dynamics research.