Yield Maximization of Flip-Flop Circuits Based on Deep Neural Network and Polyhedral Estimation of Nonlinear Constraints
In this paper, we propose a method based on deep neural networks for the statistical design of flip-flops, taking into account nonlinear performance constraints.Flip-flop design and manufacturing are influenced by random variations in the technological process, making deterministic design approaches inadequate for achieving high yields.The conventi