Simulation of lithium ions batteries using physics informed neural networks
Published in Karlsruhe Institute of Technology (KIT), 2023
Master thesis applying Physics-Informed Neural Networks (PINNs) to the simulation of lithium-ion batteries, with a focus on the underlying PDEs governing electrochemical dynamics.
Supervisors: Dr. Mehdi Elasmi and Prof. Willy Dörfler (Fakultät für Mathematik, KIT)
BibTeX:
@mastersthesis{schwencke2023master,
title={Simulation of lithium ions batteries using physics informed neural networks},
author={Schwencke, Nilo},
school={Karlsruhe Institute of Technology (KIT)},
year={2023}
}
Recommended citation: Nilo Schwencke, "Simulation of lithium ions batteries using physics informed neural networks." Master thesis, Karlsruhe Institute of Technology (KIT), 2023.