UC Berkeley mechanical engineering faculty Grace Gu was selected as the inaugural recipient of the LLNL Early Career UC Faculty Initiative for her proposal, "Toward AI-driven additive manufacturing for metal-ceramic composite structures." Image courtesy of Grace Gu and LLNL.
(Download Image)LLNL, University of California partner for AI-driven additive manufacturing research
Grace Gu, a faculty member in mechanical engineering at UC Berkeley, has been selected as the inaugural recipient of the LLNL Early Career UC Faculty Initiative. The initiative is a joint endeavor between LLNL’s Strategic Deterrence Principal Directorate and UC national laboratories at the University of California Office of the President, seeking to foster long-term academic partnerships and provide UC faculty members with funding and Lab support for their research. The winning recipient will receive up to $1 million in funding over five years to support an innovative research project in the fields of artificial intelligence and machine learning. Gu’s winning research proposal, titled “Toward AI-driven additive manufacturing for metal-ceramic composite structures,” seeks to develop new composite materials with exceptional properties, particularly in ultra-high-temperature ceramics for energy and defense applications. The project will focus on advancing the capabilities of binder jet 3D printing and optimizing composite feedstock development. This work is strategically aligned with applied data science efforts in materials and advanced manufacturing at LLNL. Read more at LLNL News.
