Machine learning accelerated carbon neutrality research using big data—from predictive models to interatomic potentials

MLA

Wu, LingJun, et al. “Machine Learning Accelerated Carbon Neutrality Research Using Big Data—from Predictive Models to Interatomic Potentials.” SCIENCE CHINA Technological Sciences, vol. 65, no. 10, Oct. 2022, pp. 2274–96. EBSCOhost, https://doi.org/10.1007/s11431-022-2095-7.

APA

Wu, L., Xu, Z., Wang, Z., Chen, Z., Huang, Z., Peng, C., Pei, X., Li, X., Mailoa, J. P., Hsieh, C.-Y., Wu, T., Yu, X.-F., & Zhao, H. (2022). Machine learning accelerated carbon neutrality research using big data—from predictive models to interatomic potentials. SCIENCE CHINA Technological Sciences, 65(10), 2274–2296. https://doi.org/10.1007/s11431-022-2095-7

Chicago

Wu, LingJun, ZhenMing Xu, ZiXuan Wang, ZiJian Chen, ZhiChao Huang, Chao Peng, XiangDong Pei, et al. 2022. “Machine Learning Accelerated Carbon Neutrality Research Using Big Data—from Predictive Models to Interatomic Potentials.” SCIENCE CHINA Technological Sciences 65 (10): 2274–96. doi:10.1007/s11431-022-2095-7.