Our recent work based on the physics-constrained deep learning framework for electrostatics analysis was published in DATE 2021. In this work, we developed a label free self-learning method to solve differential equations for electrostatic analysis, which is important for reliability and capacitance extraction method. 

• W. Jin, S. Peng, and S. X.-D. Tan, “Data-driven electrostatics analysis based on physics-constrained deep learning,” in Proc. Design, Automation and Test In Europe Conf. (DATE), Virtual,  Feb. 2021.