CITATION

@article{doi:10.1021/acs.jcim.0c00451,
	author = {Gao, Xiang and Ramezanghorbani, Farhad and Isayev, Olexandr and Smith, Justin S. and Roitberg, Adrian E.},
	doi = {10.1021/acs.jcim.0c00451},
	eprint = { https://doi.org/10.1021/acs.jcim.0c00451 },
	journal = {Journal of Chemical Information and Modeling},
	note = {PMID: 32568524},
	number = {7},
	pages = {3408–3415},
	title = {TorchANI: A Free and Open Source PyTorch-Based Deep Learning Implementation of the ANI Neural Network Potentials},
	url = {https://doi.org/10.1021/acs.jcim.0c00451},
	volume = {60},
	year = {2020}
}