Example Talk

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Abstract

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Date
Jun 1, 2030 1:00 PM — 3:00 PM
Location
Wowchemy HQ
450 Serra Mall, Stanford, CA 94305
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Fuzhan Rahmanian
Fuzhan Rahmanian
PhD Candidate 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.