APA (7th ed.) Citation

BK, R., V, S., Q, Y., R, U., M, T., AM, M., & GA, B. (2022). TorsionNet: A Deep Neural Network to Rapidly Predict Small-Molecule Torsional Energy Profiles with the Accuracy of Quantum Mechanics. Journal of chemical information and modeling, 62(4), 785. https://doi.org/10.1021/acs.jcim.1c01346

Chicago Style (17th ed.) Citation

BK, Rai, Sresht V, Yang Q, Unwalla R, Tu M, Mathiowetz AM, and Bakken GA. "TorsionNet: A Deep Neural Network to Rapidly Predict Small-Molecule Torsional Energy Profiles with the Accuracy of Quantum Mechanics." Journal of Chemical Information and Modeling 62, no. 4 (2022): 785. https://doi.org/10.1021/acs.jcim.1c01346.

MLA (9th ed.) Citation

BK, Rai, et al. "TorsionNet: A Deep Neural Network to Rapidly Predict Small-Molecule Torsional Energy Profiles with the Accuracy of Quantum Mechanics." Journal of Chemical Information and Modeling, vol. 62, no. 4, 2022, p. 785, https://doi.org/10.1021/acs.jcim.1c01346.