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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.

deep-learning fluid-dynamics fluid-simulation image-processing machine-learning matlab research-intern research-project

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NYU ONR Summer 2021_ML_v2.pdf		NYU ONR Summer 2021_ML_v2.pdf
ONR_Datasets_ML.pdf		ONR_Datasets_ML.pdf
README.md		README.md

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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.

deep-learning fluid-dynamics fluid-simulation image-processing machine-learning matlab research-intern research-project

Apache-2.0 license

1 star

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