APA (7th ed.) Citation

Nishimura, S., Le, S. D., Miyazato, I., Fujima, J., Taniike, T., Ohyama, J., & Takahashi, K. (2022). High-throughput screening and literature data-driven machine learning-assisted investigation of multi-component La2O3-based catalysts for the oxidative coupling of methane. Catalysis science & technology, 12(9), 2766-2774. https://doi.org/10.1039/d1cy02206g

Chicago Style (17th ed.) Citation

Nishimura, Shun, Son Dinh Le, Itsuki Miyazato, Jun Fujima, Toshiaki Taniike, Junya Ohyama, and Keisuke Takahashi. "High-throughput Screening and Literature Data-driven Machine Learning-assisted Investigation of Multi-component La2O3-based Catalysts for the Oxidative Coupling of Methane." Catalysis Science & Technology 12, no. 9 (2022): 2766-2774. https://doi.org/10.1039/d1cy02206g.

MLA (9th ed.) Citation

Nishimura, Shun, et al. "High-throughput Screening and Literature Data-driven Machine Learning-assisted Investigation of Multi-component La2O3-based Catalysts for the Oxidative Coupling of Methane." Catalysis Science & Technology, vol. 12, no. 9, 2022, pp. 2766-2774, https://doi.org/10.1039/d1cy02206g.