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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.

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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.

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