A Systematic Benchmark of Physics-Informed Neural Network Architectures for the Stiff Poisson-Nernst-Planck System: Adaptive LossWeighting and Multi-Scale Resolution
This paper presents a systematic, data-free benchmark of eleven Physics-Informed Neural Network architectures for the stiff Poisson-Nernst-Planck system, demonstrating that the Balanced Residual Decay Rate (BRDR) strategy offers an optimal balance between accuracy and computational efficiency compared to other methods, while providing an open-source implementation for future research.