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
Citácia podle Chicago (17th ed.)Song, Zhilong, Qionghua Zhou, Shuaihua Lu, Sae Dieb, Chongyi Ling, a 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.
Citácia podľa MLA (8th ed.)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.