Towards post-curing parameters optimization of phthalonitrile composites through the synergy of experiment and machine learning.

MLA

Zhang, Hanqi, et al. “Towards Post-Curing Parameters Optimization of Phthalonitrile Composites through the Synergy of Experiment and Machine Learning.” Composites Science & Technology, vol. 255, Aug. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.compscitech.2024.110727.

APA

Zhang, H., Ji, C., Li, G., Chen, R., Wang, D., Yang, J., Hu, J., Zhang, Y., Liu, M., & Wang, B. (2024). Towards post-curing parameters optimization of phthalonitrile composites through the synergy of experiment and machine learning. Composites Science & Technology, 255, N.PAG. https://doi.org/10.1016/j.compscitech.2024.110727

Chicago

Zhang, Hanqi, Chunming Ji, Gao Li, Rui Chen, Dongqing Wang, Jinchuan Yang, Jiqiang Hu, Yichuan Zhang, Ming Liu, and Bing Wang. 2024. “Towards Post-Curing Parameters Optimization of Phthalonitrile Composites through the Synergy of Experiment and Machine Learning.” Composites Science & Technology 255 (August): N.PAG. doi:10.1016/j.compscitech.2024.110727.