The esteemed team led by Professor Guo Yufeng from Nanjing University of Posts and Telecommunications has made a significant stride in the realm of power semiconductor research, publishing their innovative findings at the prestigious 37th International Symposium on Power Semiconductor Devices and ICs. The study, titled "Intelligent Design of Superjunction Devices Based on Physics-Informed Neural Networks," is spearheaded by Lecturer Chen Jing as the primary author, with Professor Guo Yufeng serving as the corresponding author.
This research addresses the inherent limitations of conventional design approaches that heavily rely on manual intervention. The team introduces a novel intelligent design methodology that leverages physics-informed neural networks to streamline and enhance the design process of superjunction devices. This groundbreaking method is anticipated to boost design efficiency and elevate device performance, thereby invigorating the advancement of the power semiconductor field with fresh momentum.