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Latest News for August 21st, 2022

Our recent work on EM-aware optimization using ML was accepted by TCAD

Our recent work, led by Ph.D. student, Han Zhou, to optimize the on-chip power grid networks considering the electromigration effects using machine learning based approach has been accepted by TCAD. This work represents our new approach to addressing the challenging EM failure and aging issues in the nanometer VLSI chip design. Our study shows that...