Qin, Ben, Huang, Fang, Huang, Shichun, Python, Andre, Chen, Yunfeng, and ZhangZhou, J. Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide. Retrieved from https://par.nsf.gov/biblio/10353837. Journal of Geophysical Research: Solid Earth 127.5 Web. doi:10.1029/2021JB023614.

Qin, Ben, Huang, Fang, Huang, Shichun, Python, Andre, Chen, Yunfeng, & ZhangZhou, J. Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide. Journal of Geophysical Research: Solid Earth, 127 (5). Retrieved from https://par.nsf.gov/biblio/10353837. https://doi.org/10.1029/2021JB023614

Qin, Ben, Huang, Fang, Huang, Shichun, Python, Andre, Chen, Yunfeng, and ZhangZhou, J. "Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide". Journal of Geophysical Research: Solid Earth 127 (5). Country unknown/Code not available. https://doi.org/10.1029/2021JB023614. https://par.nsf.gov/biblio/10353837.

@article{osti_10353837,
place = {Country unknown/Code not available}, title = {Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide}, url = {https://par.nsf.gov/biblio/10353837}, DOI = {10.1029/2021JB023614}, abstractNote = {}, journal = {Journal of Geophysical Research: Solid Earth}, volume = {127}, number = {5}, author = {Qin, Ben and Huang, Fang and Huang, Shichun and Python, Andre and Chen, Yunfeng and ZhangZhou, J}, }