The Chancellor Prize for Outstanding achievement by a postgraduate student
Last updated on
Mar 16, 2023
Dr.-Ing. Fuzhan Rahmanian
Researcher at TUM
My research focuses on material acceleration and applied electrochemistry through sequential and machine learning algorithms. Different stages of my thesis compromise of hardware interfacing with python and visualization, using robots to perform AI accelerated experiments i.e. through active learning, benchmarking against linear models, and extracting the fundamental knowledge in reduced time over classical high-throughput experimentation for optimization of electrolyte formulations of post-Li ion battery systems.