Zhiyu Zeng

DeepOHeat-v2: Self-Improving Operator Learning for Fast and Trustworthy Thermal Optimization in 3D-IC Design

DeepOHeat-v2 is proposed, which trains on a discretized physics loss that handles the discontinuities natively, and proposes a self-improving framework: a hotspot trust gate sends flagged placements to a reference solver, and the surrogate incrementally retrains on the refined solutions, keeping an update only when it...