Editorial: Machine Learning and Physical Review Fluids: An Editorial Perspective

Machine learning (ML) has become an important tool for modeling, prediction, and control of fluid flows.Increases in computational power, novel algorithms, and open-source software have facilitated the incorporation of ML in numerous experimental and computational studies and have created a fertile ground for new ideas in fluid mechanics.In turn, an ever-increasing number of papers are submitted to Physical Review Fluids (PRFluids) with ML content.