In the development of our n-LMF model, a multi-layered architecture was constructed to perform a series of matrix operations and nonlinear activations. The input layer of the network receives a vector, x(r) ∈ R 7 , representing 7 distinct features. The input features include the spin-resolved electron density (2 features), the squared norm of the gradient of the spin-resolved electron density (3 features, (∇ α ) 2 ,