Emerging trends in machine learning for computational fluid dynamics
The renewed interest from the scientific community in machine learning (ML) is opening many new areas of research. Here we focus on how novel trends in ML are providing opportunities to improve the field of computational fluid dynamics (CFD). In particular, we discuss synergies between ML and CFD that have already shown benefits, and we also assess areas that are under development and may produce important benefits in the coming years. We believe that it is also important to emphasize a balanced perspective of cautious optimism for these emerging approaches
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Enhancing Computational Fluid Dynamics with Machine Learning
Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. In this Perspective, we highlight some of the areas of hi…
BIG-bench Machine LearningA novel biomass fluidized bed gasification model coupled with machine learning and CFD simulation
A coupling model of biomass fluidized bed gasification based on machine learning and computational fluid dynamics is proposed to improve the prediction accuracy and computational efficiency of complex thermochemical reac…
Computational EfficiencyMachine learning accelerated computational fluid dynamics
Numerical simulation of fluids plays an essential role in modeling many physical phenomena, such as weather, climate, aerodynamics and plasma physics. Fluids are well described by the Navier-Stokes equations, but solving…
BIG-bench Machine LearningA Review of Complex Systems Approaches to Cancer Networks
Cancers remain the lead cause of disease-related, pediatric death in North America. The emerging field of complex systems has redefined cancer networks as a computational system with intractable algorithmic complexity. H…
BIG-bench Machine LearningDecision MakingHybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes
Finding the distribution of the velocities and pressures of a fluid by solving the Navier-Stokes equations is a principal task in the chemical, energy, and pharmaceutical industries, as well as in mechanical engineering …
Transfer Learning