Liu, Z.; Xia, Q.; Huang, B.; Yi, H.; Yan, J.; Chen, X.; Xu, F.; Xi, H.
Prediction of Xe/Kr Separation in Metal-Organic Frameworks by a Precursor-Based Neural Network Synergistic with a Polarizable Adsorbate Model. Molecules 2023, 28, 7367.
https://doi.org/10.3390/molecules28217367
AMA Style
Liu Z, Xia Q, Huang B, Yi H, Yan J, Chen X, Xu F, Xi H.
Prediction of Xe/Kr Separation in Metal-Organic Frameworks by a Precursor-Based Neural Network Synergistic with a Polarizable Adsorbate Model. Molecules. 2023; 28(21):7367.
https://doi.org/10.3390/molecules28217367
Chicago/Turabian Style
Liu, Zewei, Qibin Xia, Bichun Huang, Hao Yi, Jian Yan, Xin Chen, Feng Xu, and Hongxia Xi.
2023. "Prediction of Xe/Kr Separation in Metal-Organic Frameworks by a Precursor-Based Neural Network Synergistic with a Polarizable Adsorbate Model" Molecules 28, no. 21: 7367.
https://doi.org/10.3390/molecules28217367
APA Style
Liu, Z., Xia, Q., Huang, B., Yi, H., Yan, J., Chen, X., Xu, F., & Xi, H.
(2023). Prediction of Xe/Kr Separation in Metal-Organic Frameworks by a Precursor-Based Neural Network Synergistic with a Polarizable Adsorbate Model. Molecules, 28(21), 7367.
https://doi.org/10.3390/molecules28217367