Models
It includes 8
feature types with translational, rotational, and permutation invariance:
1. 2-body(2b)
2. 3-body(3b)
3. 2-body Gaussian(2bgauss)
4. 3-body Cosine(3bcos)
5. Moment Tensor Potential(MTP)
6. Spectral Neighbor Analysis Potential(SNAP)
7. DP-Chebyshev(dp1)
8. DP-Gaussian(dp2)
4
training models:
1. Linear Model
2. Deep Neural Netowrk (NN)
3. DP-torch Network (DP) with model compress and type embedding
4. Neuro evolution potentail(NEP)
2
efficient training optimizers:
1. Adaptive Moment Estimation (ADAM)
2. Reorganized Layer Extended Kalman Filtering (LKF)