APA (7th ed.) Citation

Hu, J., Li, Z., Lin, J., & Zhang, L. (2023). Prediction and Interpretability of Glass Transition Temperature of Homopolymers by Data-Augmented Graph Convolutional Neural Networks. ACS applied materials & interfaces, 15(46), 54006-54017. https://doi.org/10.1021/acsami.3c13698

Chicago Style (17th ed.) Citation

Hu, Junyang, Zean Li, Jiaping Lin, and Liangshun Zhang. "Prediction and Interpretability of Glass Transition Temperature of Homopolymers by Data-Augmented Graph Convolutional Neural Networks." ACS Applied Materials & Interfaces 15, no. 46 (2023): 54006-54017. https://doi.org/10.1021/acsami.3c13698.

MLA (9th ed.) Citation

Hu, Junyang, et al. "Prediction and Interpretability of Glass Transition Temperature of Homopolymers by Data-Augmented Graph Convolutional Neural Networks." ACS Applied Materials & Interfaces, vol. 15, no. 46, 2023, pp. 54006-54017, https://doi.org/10.1021/acsami.3c13698.