APA (7th ed.) Citation

Qin, B., Huang, F., Huang, S., Python, A., Chen, Y., & ZhangZhou, J. (2022). Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide. Journal of Geophysical Research. Solid Earth, 127(5), 1. https://doi.org/10.1029/2021JB023614

Chicago Style (17th ed.) Citation

Qin, Ben, Fang Huang, Shichun Huang, Andre Python, Yunfeng Chen, and J. ZhangZhou. "Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide." Journal of Geophysical Research. Solid Earth 127, no. 5 (2022): 1. https://doi.org/10.1029/2021JB023614.

MLA (9th ed.) Citation

Qin, Ben, et al. "Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide." Journal of Geophysical Research. Solid Earth, vol. 127, no. 5, 2022, p. 1, https://doi.org/10.1029/2021JB023614.