Publications

Zou, X., Zhao, Y., et al. (2025). Differential Control of Temperature on Zircon REE partitioning. Geophysical Research Letters, submitted

Jiang, J., Zou, X., Mitchell, R. N., Zhang, Y., Zhao, Y., Yin, Q.-Z., et al. (2024). Sediment subduction in hadean revealed by machine learning. Proceedings of the National Academy of Sciences, 121(30), e2405160121. https://doi.org/10.1073/pnas.2405160121

Zhao, Y., Liu, Z., Ni, D., & Chen, Z. (2024). Comparison of Machine-learning and Bayesian Inferences for the Interior of Rocky Exoplanets with Large Compositional Diversity. The Astrophysical Journal Supplement Series, 272(2), 35. https://doi.org/10.3847/1538-4365/ad3f1c

Zhao, Y., Ni, D., & Liu, Z. (2023). Machine-learning Inferences of the Interior Structure of Rocky Exoplanets from Bulk Observational Constraints. The Astrophysical Journal Supplement Series, 269(1), 1. https://doi.org/10.3847/1538-4365/acf31a

Zhao, Y., Zhang, Y., & Ni, D. (2023). Dynamic evolution of changbaishan volcanism in northeast China illuminated by machine learning. Frontiers in Earth Science, 10. https://doi.org/10.3389/feart.2022.1084213

Zhao, Y., & Ni, D. (2022). Understanding the interior structure of gaseous giant exoplanets with machine learning techniques. Astronomy & Astrophysics, 658, A201. https://doi.org/10.1051/0004-6361/202142874

Li, C., Shen, P., Zhao, Y., Li, P., Zhang, L., & Pan, H. (2022). Mineral chemistry of chlorite in different geologic environments and its implications for porphyry Cu ± Au ± Mo deposits. Ore Geology Reviews, 149, 105112. https://doi.org/10.1016/j.oregeorev.2022.105112

Zhao, Y., & Ni, D. (2021). Machine learning techniques in studies of the interior structure of rocky exoplanets. Astronomy & Astrophysics, 650, A177. https://doi.org/10.1051/0004-6361/202140375

Liu, W., Zhang, Y., Yin, Q.-Z., Zhao, Y., & Zhang, Z. (2020). Magnesium partitioning between silicate melt and liquid iron using first-principles molecular dynamics: Implications for the early thermal history of the Earth’s core. Earth and Planetary Science Letters, 531, 115934. https://doi.org/10.1016/j.epsl.2019.115934

Zhao, Y., Zhang, Y., Geng, M., Jiang, J., & Zou, X. (2019). Involvement of Slab‐Derived Fluid in the Generation of Cenozoic Basalts in Northeast China Inferred From Machine Learning. Geophysical Research Letters, 46(10), 5234–5242. https://doi.org/10.1029/2019gl082322

Zhang, Q., Sun, W., Zhao, Y., Yuan, F., Jiao, S., & Chen, W. (2019). New discrimination diagrams for basalts based on big data research. Big Earth Data, 3(1), 45–55. https://doi.org/10.1080/20964471.2019.1576262

Liu, X. L., Zhang, Q., Li, W. C., Yang, F. C., Zhao, Y., Li, Z., et al. (2018). Applicability of large-ion lithophile and high field strength element basalt discrimination diagrams. International Journal of Digital Earth, 11(7), 752–760. https://doi.org/10.1080/17538947.2017.1365959

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