Cite
Predicting Collision Cross-Section Values for Small Molecules through Chemical Class-Based Multimodal Graph Attention Network.
MLA
Wang, Cheng, et al. “Predicting Collision Cross-Section Values for Small Molecules through Chemical Class-Based Multimodal Graph Attention Network.” Journal of Chemical Information & Modeling, vol. 61, no. 16, Aug. 2024, pp. 6305–15. EBSCOhost, https://doi.org/10.1021/acs.jcim.3c01934.
APA
Wang, C., Yuan, C., Wang, Y., Shi, Y., Zhang, T., & Patti, G. J. (2024). Predicting Collision Cross-Section Values for Small Molecules through Chemical Class-Based Multimodal Graph Attention Network. Journal of Chemical Information & Modeling, 61(16), 6305–6315. https://doi.org/10.1021/acs.jcim.3c01934
Chicago
Wang, Cheng, Chuang Yuan, Yahui Wang, Yuying Shi, Tao Zhang, and Gary J. Patti. 2024. “Predicting Collision Cross-Section Values for Small Molecules through Chemical Class-Based Multimodal Graph Attention Network.” Journal of Chemical Information & Modeling 61 (16): 6305–15. doi:10.1021/acs.jcim.3c01934.