Li, H.Z.; Tao, W.; Gao, T.; Li, H.; Lu, Y.H.; Su, Z.M.
Improving the Accuracy of Density Functional Theory (DFT) Calculation for Homolysis Bond Dissociation Energies of Y-NO Bond: Generalized Regression Neural Network Based on Grey Relational Analysis and Principal Component Analysis. Int. J. Mol. Sci. 2011, 12, 2242-2261.
https://doi.org/10.3390/ijms12042242
AMA Style
Li HZ, Tao W, Gao T, Li H, Lu YH, Su ZM.
Improving the Accuracy of Density Functional Theory (DFT) Calculation for Homolysis Bond Dissociation Energies of Y-NO Bond: Generalized Regression Neural Network Based on Grey Relational Analysis and Principal Component Analysis. International Journal of Molecular Sciences. 2011; 12(4):2242-2261.
https://doi.org/10.3390/ijms12042242
Chicago/Turabian Style
Li, Hong Zhi, Wei Tao, Ting Gao, Hui Li, Ying Hua Lu, and Zhong Min Su.
2011. "Improving the Accuracy of Density Functional Theory (DFT) Calculation for Homolysis Bond Dissociation Energies of Y-NO Bond: Generalized Regression Neural Network Based on Grey Relational Analysis and Principal Component Analysis" International Journal of Molecular Sciences 12, no. 4: 2242-2261.
https://doi.org/10.3390/ijms12042242
APA Style
Li, H. Z., Tao, W., Gao, T., Li, H., Lu, Y. H., & Su, Z. M.
(2011). Improving the Accuracy of Density Functional Theory (DFT) Calculation for Homolysis Bond Dissociation Energies of Y-NO Bond: Generalized Regression Neural Network Based on Grey Relational Analysis and Principal Component Analysis. International Journal of Molecular Sciences, 12(4), 2242-2261.
https://doi.org/10.3390/ijms12042242
