Additionally, the number of parameters for each term is fixed (for example, one bond term needs two parameters {K r , r eq }). According to the corresponding embeddings, we can use the fully connected NNs to predict the FF parameters (see Figure ). Note that in our procedure, all FF parameters are optimized together, as explained in the section Training