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FRIB 2025 - Current

Deep learning surrogate

A deep learning surrogate for rapid thermal analysis of high-heat-flux devices.

Brief overview

This project investigates deep learning as a fast approximation to computationally intensive thermal simulations. The aim is to make repeated thermal assessments of high-heat-flux devices more practical for design studies.

A detailed overview will be available after publication.