* Gao X, Ramezanghorbani F, Isayev O, Smith JS, Roitberg AE. TorchANI: A Free and Open Source PyTorch Based Deep Learning Implementation of the ANI Neural Network Potentials. [](https://doi.org/10.26434/chemrxiv.12218294.v1)
Please cite the following paper if you use TorchANI
* Xiang Gao, Farhad Ramezanghorbani, Olexandr Isayev, Justin S. Smith, and Adrian E. Roitberg. *TorchANI: A Free and Open Source PyTorch Based Deep Learning Implementation of the ANI Neural Network Potentials*. Journal of Chemical Information and Modeling Just Accepted Manuscript, [](https://doi.org/10.1021/acs.jcim.0c00451)
* Please refer to [isayev/ASE_ANI](https://github.com/isayev/ASE_ANI) for ANI model references.
# ANI model parameters
# ANI model parameters
All the ANI model parameters including (ANI2x, ANI1x, and ANI1ccx) are accessible from the following repositories:
All the ANI model parameters including (ANI2x, ANI1x, and ANI1ccx) are accessible from the following repositories: