Data set related to the manuscript "Efficient prediction of Nucleus Independent Chemical Shifts for polycyclic aromatic hydrocarbons"
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Input/output files for Gaussian calculations, data sets for all plots shown in the manuscript "Efficient prediction of Nucleus Independent Chemical Shifts for polycyclic aromatic hydrocarbons", C code for the NICS calculations through the dipolar model and python code for the NICS calculations through the tight-binding model described in the manuscript.
本数据集包含高斯(Gaussian)计算的输入输出文件、论文《多环芳烃核独立化学位移的高效预测》中所有绘图所用的数据集、基于偶极模型(dipolar model)的核独立化学位移(Nucleus Independent Chemical Shifts,NICS)计算的C语言代码,以及本论文中提及的基于紧束缚模型(tight-binding model)的核独立化学位移计算的Python代码。
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Zenodo创建时间:
2020-05-20



