Eastman, Peter; Behara, Pavan Kumar; Dotson, David L.; Galvelis, Raimondas; Herr, John E.; Horton, Josh T.; Mao, Yuezhi; Chodera, John D.; Pritchard, Benjamin P.; Wang, Yuanqing; De Fabritiis, Gianni; Markland, Thomas E.
(Nature Research, 2023)
Machine learning potentials are an important tool for molecular simulation, but their development is held back by a shortage of high quality datasets to train them on. We describe the SPICE dataset, a new quantum chemistry ...