Ella YarossiCandidate for MEng in Nuclear Engineering Undergraduate Institution: Drexel University Capstone Project: Machine Learning Algorithms for Nuclear Fusion Magnet Material Science Faculty Advisors: Prof. Peter Hosemann [NE] and Christopher Reis, PhD, Postdoc We are going to be building off the work of the previous MEng Capstone group to create a machine-learning algorithm to predict and analyze the radiation effects superconductors experience during their anticipated service condition in fusion reactors. The specific superconductor we are analyzing is REBCO-coated conductors which due to their high operating temperature and ability to sustain strong magnetic fields have shown great promise in making controlled fusion reactors a reality. Through microscopic images of pristine and irradiated REBCO, we are constructing an original relationship between irradiation of the material and change in material performance. Connect with Ella.
Chloe Woohee KwakCandidate for MEng in Materials Science Engineering Undergraduate Institution: University of Illinois at Urbana — Champaign Capstone Project: Temperature Adaptive Radiative Coating for Building Energy-saving Faculty Advisors: Prof. Peter Hosemann [NE] and Christopher Reis, PhD, Postdoc The smart roof coating (temperature adaptive radiative coating, TARC) has already been developed, but work is needed to integrate them with roof tiles and other surfaces for practical applications. Congrats to this year’s fellowship awardees! Learn more about the Fung Institute at funginstitute.berkeley.edu
2023-24 Eaton-Hachigian Fellowship Recipients was originally published in Berkeley Master of Engineering on Medium, where people are continuing the conversation by highlighting and responding to this story.