Improving the silicon interactions of GFN-xTB
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下载链接：
https://archive.materialscloud.org/doi/10.24435/materialscloud:14-4m
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资源简介：
This record addresses inaccuracies in the widely-used GFN-xTB model when it comes to the description of organosilicon compounds. Here, an ab initio reference data set of 10000 compounds is provided alongside files needed to execute a parameter fitting scheme that improves geometries, nuclear gradients and energies predicted by the GFN-xTB Hamiltonian.
提供机构：
Materials Cloud
创建时间：
2021-09-21
