Shevchenko Alexander P, Smolkov Michail I, Wang Junjie, Blatov Vladislav A
SCTMS, Samara State Technical University, Samara 443100, Russian Federation.
Samara Branch, P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Samara 443011, Russian Federation.
J Chem Inf Model. 2022 May 23;62(10):2332-2340. doi: 10.1021/acs.jcim.2c00080. Epub 2022 May 6.
We propose a universal scheme for predicting the oxidation states of metal atoms in ionic and coordination compounds with a small set of structural descriptors, which include the parameters of atomic Voronoi polyhedra. The scheme has been trained and checked with more than 35,000 crystal structures containing more than 90,000 metal atoms in the oxygen environment. The accuracy of the prediction exceeded 95%; we have detected a number of wrong oxidation states and incorrect chemical compositions in the crystallographic databases using this scheme. The scheme is easily extendable to any kind of atomic environment and can be used to search for correlations between geometrical and physical properties of crystal structures.
我们提出了一种通用方案,用于通过一小组结构描述符预测离子化合物和配位化合物中金属原子的氧化态,这些描述符包括原子Voronoi多面体的参数。该方案已在超过35000个晶体结构上进行了训练和检验,这些晶体结构在氧环境中包含超过90000个金属原子。预测的准确率超过了95%;我们使用该方案在晶体学数据库中检测到了一些错误的氧化态和不正确的化学成分。该方案易于扩展到任何类型的原子环境,可用于寻找晶体结构的几何性质和物理性质之间的相关性。