APA (7th ed.) Citation

Song, Z., Zhou, Q., Lu, S., Dieb, S., Ling, C., & Wang, J. (2023). Adaptive Design of Alloys for CO2 Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search Algorithm. The journal of physical chemistry letters, 14(14), 3594. https://doi.org/10.1021/acs.jpclett.3c00242

Chicago Style (17th ed.) Citation

Song, Zhilong, Qionghua Zhou, Shuaihua Lu, Sae Dieb, Chongyi Ling, and Jinlan Wang. "Adaptive Design of Alloys for CO2 Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search Algorithm." The Journal of Physical Chemistry Letters 14, no. 14 (2023): 3594. https://doi.org/10.1021/acs.jpclett.3c00242.

MLA (9th ed.) Citation

Song, Zhilong, et al. "Adaptive Design of Alloys for CO2 Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search Algorithm." The Journal of Physical Chemistry Letters, vol. 14, no. 14, 2023, p. 3594, https://doi.org/10.1021/acs.jpclett.3c00242.