T, W., DP, R., D, B., P, D., X, J., H, H., & H, Z. (2023). Integrating structure annotation and machine learning approaches to develop graphene toxicity models. Carbon, 204, 484. https://doi.org/10.1016/j.carbon.2022.12.065
Chicago Style (17th ed.) CitationT, Wang, Russo DP, Bitounis D, Demokritou P, Jia X, Huang H, and Zhu H. "Integrating Structure Annotation and Machine Learning Approaches to Develop Graphene Toxicity Models." Carbon 204 (2023): 484. https://doi.org/10.1016/j.carbon.2022.12.065.
MLA (9th ed.) CitationT, Wang, et al. "Integrating Structure Annotation and Machine Learning Approaches to Develop Graphene Toxicity Models." Carbon, vol. 204, 2023, p. 484, https://doi.org/10.1016/j.carbon.2022.12.065.
Warning: These citations may not always be 100% accurate.