APA (7th ed.) Citation

Ohkubo, T., Takei, A., Tachi, Y., Fukatsu, Y., Deguchi, K., Ohki, S., & Shimizu, T. (2023). New Approach To Understanding the Experimental 133Cs NMR Chemical Shift of Clay Minerals via Machine Learning and DFT-GIPAW Calculations. The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 127(4), 973-986. https://doi.org/10.1021/acs.jpca.2c08880

Chicago Style (17th ed.) Citation

Ohkubo, Takahiro, Akihiro Takei, Yukio Tachi, Yuta Fukatsu, Kenzo Deguchi, Shinobu Ohki, and Tadashi Shimizu. "New Approach To Understanding the Experimental 133Cs NMR Chemical Shift of Clay Minerals via Machine Learning and DFT-GIPAW Calculations." The Journal of Physical Chemistry. A, Molecules, Spectroscopy, Kinetics, Environment, & General Theory 127, no. 4 (2023): 973-986. https://doi.org/10.1021/acs.jpca.2c08880.

MLA (9th ed.) Citation

Ohkubo, Takahiro, et al. "New Approach To Understanding the Experimental 133Cs NMR Chemical Shift of Clay Minerals via Machine Learning and DFT-GIPAW Calculations." The Journal of Physical Chemistry. A, Molecules, Spectroscopy, Kinetics, Environment, & General Theory, vol. 127, no. 4, 2023, pp. 973-986, https://doi.org/10.1021/acs.jpca.2c08880.