Physics-Informed and Brain-Inspired Set-Routed Neural Networks for Lithium-Ion Battery Life-Cycle Assessment in Medical Devices
This work presents a dual-purpose study. The first objective is to generate a realistic synthetic dataset for battery health monitoring. The second objective is to validate both the realism of the dataset and the performance of a novel neural architecture, termed the Set-Routed Neural Network (SetNet), for regression-b...