DeepXDE v1.11.0

• DeepXDE stops the support of Python 3.8 from this release.
• Many exciting new functions of automatic differentiation (AD) are added.

Areas of improvement

• dde.grad supports forward-mode AD for backends TensorFlow 1.x and 2.x, PyTorch, JAX. Use dde.config.set_default_autodiff to select.
• dde.grad.jacobian allows both i and j are None
• Backend PyTorch: DeepONet supports multiple outputs

New APIs

• Support new AD method in dde.zcs: Zero Coordinate Shift (ZCS), see https://arxiv.org/abs/2311.00860