Project Grant 2328010

Award Date 9/1/23
Completion Date 8/31/27
Dollars Obligated $3M
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Ann Arbor, MI 48109, USA
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The research aims to understand, model, and control the process-structure-property relationships during halide perovskite semiconductor manufacturing using this lamination technique. Key objectives include integrating in-line metrology with physics-informed data-driven models to establish a fundamental understanding of the underlying thermo-chemo-mechanical mechanisms, enabling closed-loop process control. The award also supports developing cyberinfrastructure for distributed manufacturing, generating trained machine learning models to optimize processes for small-to-medium manufacturers. Subawards are planned, including one to the University of California, San Diego to focus on solar cell fabrication, characterization, and device performance modeling.

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