APA Zitierstil

Huynh, H., Le, K., Vu, L., Nguyen, T., Holcomb, M., Forli, S., & Phan, H. (2024). Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms. Journal of computational chemistry, 45(18), 1552. https://doi.org/10.1002/jcc.27329

Chicago Zitierstil

Huynh, Hieu, Khanh Le, Linh Vu, Trang Nguyen, Matthew Holcomb, Stefano Forli, und Hung Phan. "Synergy of Machine Learning and Density Functional Theory Calculations for Predicting Experimental Lewis Base Affinity and Lewis Polybase Binding Atoms." Journal of Computational Chemistry 45, no. 18 (2024): 1552. https://dx.doi.org/10.1002/jcc.27329.

MLA Zitierstil

Huynh, Hieu, et al. "Synergy of Machine Learning and Density Functional Theory Calculations for Predicting Experimental Lewis Base Affinity and Lewis Polybase Binding Atoms." Journal of Computational Chemistry, vol. 45, no. 18, 2024, p. 1552.