nablaDFT

nablaDFT is a comprehensive dataset and benchmark designed for evaluating neural network potentials in molecular property prediction and Hamiltonian prediction. It includes a large collection of drug-like molecules with calculated electronic properties, making it a valuable resource for computational chemistry and machine learning applications in drug discovery.