GradDFT

GradDFT is a JAX-based library that enables the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques. It allows for the training of neural functionals and performing DFT simulations, making it a valuable tool for predicting molecular properties and conducting quantum chemistry simulations.