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tmQM 数据集-86k 过渡金属配合物的量子几何和性质。

tmQM Dataset-Quantum Geometries and Properties of 86k Transition Metal Complexes.

机构信息

Hylleraas Centre for Quantum Molecular Sciences, Department of Chemistry, University of Oslo, P.O. Box 1033, Blindern, 0315 Oslo, Norway.

Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo 001-0021, Japan.

出版信息

J Chem Inf Model. 2020 Dec 28;60(12):6135-6146. doi: 10.1021/acs.jcim.0c01041. Epub 2020 Nov 9.

Abstract

We report the transition metal quantum mechanics (tmQM) data set, which contains the geometries and properties of a large transition metal-organic compound space. tmQM comprises 86,665 mononuclear complexes extracted from the Cambridge Structural Database, including Werner, bioinorganic, and organometallic complexes based on a large variety of organic ligands and 30 transition metals (the 3d, 4d, and 5d from groups 3 to 12). All complexes are closed-shell, with a formal charge in the range {+1, 0, -1}. The tmQM data set provides the Cartesian coordinates of all metal complexes optimized at the GFN2-xTB level, and their molecular size, stoichiometry, and metal node degree. The quantum properties were computed at the DFT(TPSSh-D3BJ/def2-SVP) level and include the electronic and dispersion energies, highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energies, HOMO/LUMO gap, dipole moment, and natural charge of the metal center; GFN2-xTB polarizabilities are also provided. Pairwise representations showed the low correlation between these properties, providing nearly continuous maps with unusual regions of the chemical space, for example, complexes combining large polarizabilities with wide HOMO/LUMO gaps and complexes combining low-energy HOMO orbitals with electron-rich metal centers. The tmQM data set can be exploited in the data-driven discovery of new metal complexes, including predictive models based on machine learning. These models may have a strong impact on the fields in which transition metal chemistry plays a key role, for example, catalysis, organic synthesis, and materials science. tmQM is an open data set that can be downloaded free of charge from https://github.com/bbskjelstad/tmqm.

摘要

我们报告了过渡金属量子力学(tmQM)数据集,其中包含了大量过渡金属有机化合物的结构和性质。tmQM 包含了 86665 个单核配合物,这些配合物是从剑桥结构数据库中提取出来的,包括 Werner、生物无机和有机金属配合物,它们基于各种有机配体和 30 种过渡金属(来自第 3 族到第 12 族的 3d、4d 和 5d 金属)。所有配合物都是闭壳层的,具有在{+1、0、-1}范围内的形式电荷。tmQM 数据集提供了所有金属配合物在 GFN2-xTB 水平下优化的笛卡尔坐标,以及它们的分子大小、化学计量和金属节点度。量子性质是在 DFT(TPSSh-D3BJ/def2-SVP)水平上计算的,包括电子和色散能、最高占据分子轨道(HOMO)和最低未占据分子轨道(LUMO)能量、HOMO/LUMO 能隙、偶极矩和金属中心的自然电荷;还提供了 GFN2-xTB 极化率。成对表示显示了这些性质之间的低相关性,提供了几乎连续的图谱,具有化学空间的不寻常区域,例如,结合大极化率和宽 HOMO/LUMO 能隙的配合物,以及结合低能 HOMO 轨道和富含电子的金属中心的配合物。tmQM 数据集可用于新金属配合物的发现,包括基于机器学习的预测模型。这些模型可能会对过渡金属化学发挥关键作用的领域产生重大影响,例如催化、有机合成和材料科学。tmQM 是一个开放数据集,可以从 https://github.com/bbskjelstad/tmqm 免费下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/981e/7768608/bd72b06f91ee/ci0c01041_0002.jpg

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