Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning

Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam

Automatic differentiation (AD) is a critical step in physics-informed machine learning, required for computing the high-order derivatives of network output w.r.t. coordinates of co…