Jiechen Huang

DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design

Monte Carlo random walk methods are widely used in capacitance extraction for their mesh-free formulation and inherent parallelism. However, modern semiconductor technologies with densely packed structures present significant challenges in unbiasedly sampling transition domains in walk steps with mu