Physics-Informed Neural Network

The video explores hybrid machine learning methods that combine physics-based models with machine learning techniques. It discusses various approaches to integrate these methods, including using residuals and constraints. A case study on predicting thermophysical properties is presented, demonstrating the effectiveness of adding constraints to improve model validation. The video also covers linear regression and neural networks, highlighting the impact of constraints on model performance.

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