A physics-inspired nonlinear momentum method for gradient descent with applications to inverse photonic design

Jianing Zhang, Rumei Liu

In this work, a nonlinear momentum method is introduced to enhance the convergence performance of momentum-based gradient optimization algorithms. Classical momentum methods, such…