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ICCD paper on GAN based analysis for electromigration has been nominated as Best Paper Award

Our recent paper published in ICCD 2021 has been nominated as the Best Paper Award. Ph.D. student Wentian Jin developed new GAN (Generative Adversary Network) based analysis method for solving the partial differential equations for electromigration.  

  • W. Jin, S. Sadiqbatcha, Z. Sun, H. Zhou and S. X.-D. Tan, “EM-GAN: Data-driven fast stress analysis for multi-segment interconnects”, Proc. IEEE Int. Conf. on Computer Design (ICCD), Virtual, Oct. 2020.  (28% acceptance rate) (nominated as Best Paper Awards)