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In this project a Machine Learning model is trained for learning a simulator for Material-Flow systems, where the Machine Learning model is based on Graph Neural Networks. The data for training the model is generated using an accurate physicbased simulator.
Tools designed to extract Resonant Frequency & Coupling Quality Factor for Microwave Kinetic Inductance Detector Simulations using a Sonnet .csv data file.