Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 03

Supercharging PINN’s performance with gradient boost training

Shuai Guo
Towards Data Science
7 min readMay 25, 2023

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Supercharging PINN’s performance with gradient boost training
Photo by Haithem Ferdi on Unsplash

Welcome to the 3rd blog of this series, where we continue our exciting journey of exploring design patterns of physics-informed neural networks (PINN).

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Data scientist, specialized in statistical modeling and uncertainty analysis for reliable system design.