Borysov Stanislav S, Geilhufe R Matthias, Balatsky Alexander V
Nordita, Center for Quantum Materials, KTH Royal Institute of Technology and Stockholm University, Roslagstullsbacken 23, SE-106 91 Stockholm, Sweden.
ETH Institute for Theoretical Studies, ETH Zurich, 8092 Zurich, Switzerland.
PLoS One. 2017 Feb 9;12(2):e0171501. doi: 10.1371/journal.pone.0171501. eCollection 2017.
We present an organic materials database (OMDB) hosting thousands of Kohn-Sham electronic band structures, which is freely accessible online at http://omdb.diracmaterials.org. The OMDB focus lies on electronic structure, density of states and other properties for purely organic and organometallic compounds that are known to date. The electronic band structures are calculated using density functional theory for the crystal structures contained in the Crystallography Open Database. The OMDB web interface allows users to retrieve materials with specified target properties using non-trivial queries about their electronic structure. We illustrate the use of the OMDB and how it can become an organic part of search and prediction of novel functional materials via data mining techniques. As a specific example, we provide data mining results for metals and semiconductors, which are known to be rare in the class of organic materials.
我们展示了一个有机材料数据库(OMDB),其中包含数千种Kohn-Sham电子能带结构,可在http://omdb.diracmaterials.org在线免费访问。OMDB的重点在于迄今为止已知的纯有机和有机金属化合物的电子结构、态密度及其他性质。电子能带结构是使用密度泛函理论针对晶体学开放数据库中包含的晶体结构进行计算的。OMDB网络界面允许用户通过对其电子结构进行非平凡查询来检索具有指定目标性质的材料。我们说明了OMDB的使用方法,以及它如何通过数据挖掘技术成为新型功能材料搜索和预测的有机组成部分。作为一个具体示例,我们提供了金属和半导体的数据挖掘结果,而金属和半导体在有机材料类别中是比较罕见的。