Using curvature-based pre-bias to reduce number of iterations in curvilinear mask process correction

In this work, we present using curvature-based pre-bias to reduce the number of iterations required to reach convergence in curvilinear mask correction. The pre-bias is generated with a simple curvature, which extracts the input contour curvature. Although the curvature-aware model is simple, the created pre-bias is close to the converged MPC correction output. Therefore, fewer iterations with the full model are needed to reach convergence. In the meantime, since the curvature model is simple and does not require high compute resources, the total runtime of curvilinear MPC can be reduced.