Code for running APPJ experiments with silicon wafers
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Updated
Feb 7, 2024 - Python
Code for running APPJ experiments with silicon wafers
This is a cleaned-up version of APPJ_Control which was forked from Dogan Gidon's APPJ_Control repository. This will be the location of the latest info (until August 2024) about the atmospheric pressure plasma jet (APPJ) located in the Mesbah Lab at UC Berkeley. The repository contains condensed information from the previous iterations.
Towards Personalized Plasma Medicine via Data-efficient Adaptation of Fast Deep Learning-based MPC Policies
This code trains and implements a reinforcement learning framework for control of the thermal effects of an atmospheric pressure plasma jet
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