Introduction to 10.1016/j.jcp.2024.113494 The research study marked by DOI 10.1016/j.jcp.2024.113494 focuses on a pressing challenge in computational science: ill-conditioning in physics-informed neural networks (PINNs). PINNs are unique because they blend machine learning with physical principles, making them suitable for solving partial differential equations (PDEs). However, like many advanced methods, they suffer from optimization issues. This…

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