Tavakoli, Mohammadamin, Mood, Aaron, Van Vranken, David, and Baldi, Pierre. Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity. Retrieved from https://par.nsf.gov/biblio/10334806. Journal of Chemical Information and Modeling 62.9 Web. doi:10.1021/acs.jcim.1c01400.

Tavakoli, Mohammadamin, Mood, Aaron, Van Vranken, David, & Baldi, Pierre. Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity. Journal of Chemical Information and Modeling, 62 (9). Retrieved from https://par.nsf.gov/biblio/10334806. https://doi.org/10.1021/acs.jcim.1c01400

Tavakoli, Mohammadamin, Mood, Aaron, Van Vranken, David, and Baldi, Pierre. "Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity". Journal of Chemical Information and Modeling 62 (9). Country unknown/Code not available. https://doi.org/10.1021/acs.jcim.1c01400. https://par.nsf.gov/biblio/10334806.

@article{osti_10334806,
place = {Country unknown/Code not available}, title = {Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity}, url = {https://par.nsf.gov/biblio/10334806}, DOI = {10.1021/acs.jcim.1c01400}, abstractNote = {}, journal = {Journal of Chemical Information and Modeling}, volume = {62}, number = {9}, author = {Tavakoli, Mohammadamin and Mood, Aaron and Van Vranken, David and Baldi, Pierre}, }