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

翻译：科学界对机器学习重新燃起的兴趣正在开辟许多新的研究领域。本文重点关注机器学习的新趋势如何为改进计算流体力学领域提供机遇。具体而言，我们将讨论已显现优势的机器学习与计算流体力学之间的协同作用，同时评估正在发展且可能在未来数年产生重要影响的领域。我们认为，对这些新兴方法持谨慎乐观的平衡视角同样至关重要。