Vargas, Santiago, Hennefarth, Matthew R., Liu, Zhihao, and Alexandrova, Anastassia N. Machine Learning to Predict Diels–Alder Reaction Barriers from the Reactant State Electron Density. Retrieved from https://par.nsf.gov/biblio/10353523. Journal of Chemical Theory and Computation 17.10 Web. doi:10.1021/acs.jctc.1c00623.

Vargas, Santiago, Hennefarth, Matthew R., Liu, Zhihao, & Alexandrova, Anastassia N. Machine Learning to Predict Diels–Alder Reaction Barriers from the Reactant State Electron Density. Journal of Chemical Theory and Computation, 17 (10). Retrieved from https://par.nsf.gov/biblio/10353523. https://doi.org/10.1021/acs.jctc.1c00623

Vargas, Santiago, Hennefarth, Matthew R., Liu, Zhihao, and Alexandrova, Anastassia N. "Machine Learning to Predict Diels–Alder Reaction Barriers from the Reactant State Electron Density". Journal of Chemical Theory and Computation 17 (10). Country unknown/Code not available. https://doi.org/10.1021/acs.jctc.1c00623. https://par.nsf.gov/biblio/10353523.

@article{osti_10353523,
place = {Country unknown/Code not available}, title = {Machine Learning to Predict Diels–Alder Reaction Barriers from the Reactant State Electron Density}, url = {https://par.nsf.gov/biblio/10353523}, DOI = {10.1021/acs.jctc.1c00623}, abstractNote = {}, journal = {Journal of Chemical Theory and Computation}, volume = {17}, number = {10}, author = {Vargas, Santiago and Hennefarth, Matthew R. and Liu, Zhihao and Alexandrova, Anastassia N.}, }