Code and data related to our research can be found below:
A physics-based machine learning model for atomic partial charges.
Pure non-local density functionals based on the Kernel DFT approach.
Gaussian Process Regression based repulsive potentials for DFTB.
Reaction Network Repository
Repository of algorithmically enumerated reaction networks for Carbon, Hydrogen and Oxygen.