Publication date: Sep 21, 2021
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.
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File name | Size | Description |
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gfn-xtb-si.tar.gz
MD5md5:fbda97ff283aed0e27c264e7d438a70f
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201.9 MiB | Data repository, individual hash sums, parametrization files |
README.md
MD5md5:e7c83282c92dc43f11ad3580aa107956
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2.2 KiB | Readme with per-file descriptions and data format documentation |
2021.152 (version v1) [This version] | Sep 21, 2021 | DOI10.24435/materialscloud:14-4m |