Uploaded October 2022 | Updated September 2026, 1 week ago

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📈 APEX Consulting: theapexconsulting.com
🌎 Website: jousefmurad.com

A data-driven model can be built to accurately accelerate computationally expensive physical simulations, which is essential in multi-query problems, such as uncertainty quantification, design optimization, optimal control, and inverse problems. It is important to build interpretable and explainable models when data is integrated to predict physics calculations for unseen parameters to guarantee desirable accuracy and preserve the underlying structure. For such data-driven approaches, the procedural formalism from data compression to latent space dynamics discovery will be discussed, e.g., nonlinear and linear compression and discovery of latent space dynamics from black-box to physics-constrained approaches.

👉 My main channel: @Jousef Murad

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