------------------- * refactored Scaler, Potential, and Trainer * optimized Kalman Filter JIT kernels * separated scaler and model parameters from potential * bug fixes
0.10
------------------- * added an optimized implementation (100x faster) of the ACSF gradient calculation
0.9
------------------- * required adjustments on the base codes and example notebooks to work with the recent version of JAX * added `autodiff` gradient method to the LJ force calculation kernel
0.8
------------------- * Changed package name to `Pantea`
0.7
------------------- * Refactored structure including design, documentation, and performance (JIT kernels) * Refactored RuNNer dataset