Design of Experiments Tool for Efficient Exploration of Virtual and Physical Parameter Spaces
Description: The SPARC tokamak is now being designed to produce net fusion energy in the mid-2020’s. Simulation and physical experiments to support design of prototypes and the device design are typically resource intensive, driving sparse data sets. Efficient exploration of the parameter spaces in these studies can be done using Design of Experiments (DoE) principles of orthogonality and fractional factorial design. The UROP filling this position would leverage existing Python library for DoE and work with simulation and experimental experts on generating the appropriate inputs and output for the Tool and experiments.
Desired skills: Background that would be useful includes undergraduate physics, engineering, and computer science courses. Experience with Python scripting and GUI construction.
Research supervisor: Chris Lammi email@example.com
Faculty sponsor: Zach Hartwig firstname.lastname@example.org