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Machine learning to unveil the fluid structure interaction of air-backed impact
Developing Deep learning methods that can incorporate
physical laws in a systematic manner is a key element in
advancing AI for physical sciences.
Experimental Setup
Zoom-Meets
About
Deep Learning for Fluid Velocity stimulations and Analysis. Compromising Computational fluid dynamic tools (i.e. PIVlab) over Machine Learning Models for the fluid flows tasks.