Non-destructive degradation pattern decoupling for early battery trajectory prediction via physics-informed learning

The paper proposes a physics-informed model to predict battery lifetime trajectories by computing thermodynamic and kinetic parameters, saving costly data that has not been established for sustainable manufacturing, reuse, and recycling.