Introduction to deep learning for fluid mechanics

Ricardo Vinuesa
Ricardo Vinuesa
11 هزار بار بازدید - پارسال - In this video we describe
In this video we describe several deep-learning methods for temporal predictions in fluid mechanics. See the topics and references below: ✅ MLPs and LSTMs: link.aps.org/doi/10.1103/PhysRevFluids.4.054603 ✅Koopman framework with non-linear forcing: www.sciencedirect.com/science/article/pii/S0142727… ✅ LSTMs in a turbulent channel: www.sciencedirect.com/science/article/pii/S0142727… ✅ Transformers: www.cambridge.org/core/journals/journal-of-fluid-m… Other related videos in the channel: 🎥 Deep learning for spatial predictions in turbulence:    • Deep learning for spatial predictions...   🎥 Physics-informed neural networks (PINNs) for fluid mechanics:    • Physics-informed neural networks for ...   🎥 Machine learning for CFD; autoencoders for model reduction:    • Enhancing computational fluid dynamic...  
پارسال در تاریخ 1402/01/21 منتشر شده است.
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