Mattias Ulmestrand

master student

My thesis aims to optimize the design of nanofluidic chips with Graph Neural Networks and Reinforcement Learning. If the method is successful, we hope to build and test the optimized circuitry in the lab. The end goal is to better understand catalytic reactions with these AI-designed chips.

Page manager Published: Fri 04 Mar 2022.