• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

晶体有机半导体基准数据集。

Benchmark Data Set of Crystalline Organic Semiconductors.

作者信息

Zhugayevych Andriy, Sun Wenbo, van der Heide Tammo, Lien-Medrano Carlos R, Frauenheim Thomas, Tretiak Sergei

机构信息

Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany.

Bremen Center for Computational Materials Science, Am Fallturm 1, 28359 Bremen, Germany.

出版信息

J Chem Theory Comput. 2023 Nov 28;19(22):8481-8490. doi: 10.1021/acs.jctc.3c00861. Epub 2023 Nov 16.

DOI:10.1021/acs.jctc.3c00861
PMID:37969072
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10688188/
Abstract

This work reports a Benchmark Data set of Crystalline Organic Semiconductors to test calculations of the structural and electronic properties of these materials in the solid state. The data set contains 67 crystals consisting of mostly rigid molecules with a single dominant conformer, covering the majority of known structural types. The experimental crystal structure is available for the entire data set, whereas zero-temperature unit cell volume can be reliably estimated for a subset of 28 crystals. Using this subset, we benchmark rSCAN-D3 and PBE-D3 density functionals. Then, for the entire data set, we benchmark approximate density functional theory (DFT) methods, including GFN1-xTB and DFTB3(3ob-3-1), with various dispersion corrections against rSCAN-D3. Our results show that rSCAN-D3 geometries are accurate within a few percent, which is comparable to the statistical uncertainty of experimental data at a fixed temperature, but the unit cell volume is systematically underestimated by 2% on average. The several times faster PBE-D3 provides an unbiased estimate of the volume for all systems except for molecules with highly polar bonds, for which the volume is substantially overestimated in correlation with the underestimation of atomic charges. Considered approximate DFT methods are orders of magnitude faster and provide qualitatively correct but overcompressed crystal structures unless the dispersion corrections are fitted by unit cell volume.

摘要

这项工作报告了一个晶体有机半导体基准数据集,用于测试这些材料在固态下的结构和电子性质的计算。该数据集包含67种晶体,主要由具有单一优势构象的刚性分子组成,涵盖了大多数已知的结构类型。整个数据集都有实验晶体结构,而对于28种晶体的子集,可以可靠地估计零温度晶胞体积。使用这个子集,我们对rSCAN-D3和PBE-D3密度泛函进行了基准测试。然后,对于整个数据集,我们对近似密度泛函理论(DFT)方法进行了基准测试,包括GFN1-xTB和DFTB3(3ob-3-1),并针对rSCAN-D3进行了各种色散校正。我们的结果表明,rSCAN-D3几何结构的精度在百分之几以内,这与固定温度下实验数据的统计不确定性相当,但晶胞体积平均系统地低估了2%。速度快几倍的PBE-D3对所有系统的体积提供了无偏估计,但对于具有高极性键的分子除外,对于这些分子,体积与原子电荷的低估相关而被大幅高估。所考虑的近似DFT方法速度快几个数量级,并且提供定性正确但过度压缩的晶体结构,除非通过晶胞体积拟合色散校正。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/860e756aaf1d/ct3c00861_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/5fc44d488f17/ct3c00861_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/3fe884b04b28/ct3c00861_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/777d163707e1/ct3c00861_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/d463f1b9a4bb/ct3c00861_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/860e756aaf1d/ct3c00861_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/5fc44d488f17/ct3c00861_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/3fe884b04b28/ct3c00861_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/777d163707e1/ct3c00861_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/d463f1b9a4bb/ct3c00861_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d31c/10688188/860e756aaf1d/ct3c00861_0005.jpg

相似文献

1
Benchmark Data Set of Crystalline Organic Semiconductors.晶体有机半导体基准数据集。
J Chem Theory Comput. 2023 Nov 28;19(22):8481-8490. doi: 10.1021/acs.jctc.3c00861. Epub 2023 Nov 16.
2
Assessing cathode property prediction exchange-correlation functionals with and without long-range dispersion corrections.评估有无长程色散校正的阴极性质预测交换关联泛函。
Phys Chem Chem Phys. 2021 Nov 10;23(43):24726-24737. doi: 10.1039/d1cp03163e.
3
Benchmarking Density Functionals for Chemical Bonds of Gold.用于金化学键的基准密度泛函
J Phys Chem A. 2017 Mar 9;121(9):2022-2034. doi: 10.1021/acs.jpca.6b12086. Epub 2017 Feb 24.
4
Parameterization of DFTB3/3OB for Sulfur and Phosphorus for Chemical and Biological Applications.用于化学和生物学应用的硫和磷的DFTB3/3OB参数化
J Chem Theory Comput. 2014 Apr 8;10(4):1518-1537. doi: 10.1021/ct401002w. Epub 2014 Mar 12.
5
Dispersion corrected hartree-fock and density functional theory for organic crystal structure prediction.用于有机晶体结构预测的色散校正哈特里-福克和密度泛函理论
Top Curr Chem. 2014;345:1-23. doi: 10.1007/128_2013_488.
6
How critical are the van der Waals interactions in polymer crystals?范德华相互作用在聚合物晶体中有多重要?
J Phys Chem A. 2012 Sep 20;116(37):9347-52. doi: 10.1021/jp3005844. Epub 2012 Sep 11.
7
A Systematic Study of DFT Performance for Geometry Optimizations of Ionic Liquid Clusters.离子液体团簇几何优化的密度泛函理论(DFT)性能的系统研究
J Chem Theory Comput. 2020 Oct 13;16(10):6735-6753. doi: 10.1021/acs.jctc.0c00549. Epub 2020 Sep 14.
8
Organic crystal polymorphism: a benchmark for dispersion-corrected mean-field electronic structure methods.有机晶体多晶型:色散校正平均场电子结构方法的一个基准
Acta Crystallogr B Struct Sci Cryst Eng Mater. 2016 Aug 1;72(Pt 4):502-13. doi: 10.1107/S2052520616007885.
9
Benchmark quantum-chemical calculations on a complete set of rotameric families of the DNA sugar-phosphate backbone and their comparison with modern density functional theory.对整套 DNA 糖-磷酸骨架的构象异构体族进行基准量子化学计算,并将其与现代密度泛函理论进行比较。
Phys Chem Chem Phys. 2013 May 21;15(19):7295-310. doi: 10.1039/c3cp44383c.
10
Improved Predictive Tools for Structural Properties of Metal-Organic Frameworks.改进金属有机骨架结构性能的预测工具。
Molecules. 2020 Mar 28;25(7):1552. doi: 10.3390/molecules25071552.

本文引用的文献

1
Computational Approaches for Organic Semiconductors: From Chemical and Physical Understanding to Predicting New Materials.有机半导体的计算方法:从化学和物理理解到新材料的预测。
Chem Rev. 2023 Jun 28;123(12):7498-7547. doi: 10.1021/acs.chemrev.2c00704. Epub 2023 May 4.
2
Microcrystal Electron Diffraction for Molecular Design of Functional Non-Fullerene Acceptor Structures.用于功能性非富勒烯受体结构分子设计的微晶电子衍射
Chem Mater. 2021 Feb 9;33(3):966-977. doi: 10.1021/acs.chemmater.0c04111. Epub 2021 Jan 25.
3
Machine Learning Interatomic Potentials and Long-Range Physics.
机器学习原子间势和长程物理。
J Phys Chem A. 2023 Mar 23;127(11):2417-2431. doi: 10.1021/acs.jpca.2c06778. Epub 2023 Feb 21.
4
Recent Research Progress of Organic Small-Molecule Semiconductors with High Electron Mobilities.具有高电子迁移率的有机小分子半导体的最新研究进展
Adv Mater. 2023 Mar;35(11):e2210772. doi: 10.1002/adma.202210772. Epub 2023 Jan 17.
5
Charge storage mechanisms of a π-d conjugated polymer for advanced alkali-ion battery anodes.用于先进碱离子电池阳极的π - d共轭聚合物的电荷存储机制
Chem Sci. 2022 Jun 29;13(27):8161-8170. doi: 10.1039/d2sc03127b. eCollection 2022 Jul 13.
6
OCELOT: An infrastructure for data-driven research to discover and design crystalline organic semiconductors.OCELOT:一个数据驱动的研究基础设施,用于发现和设计结晶有机半导体。
J Chem Phys. 2021 May 7;154(17):174705. doi: 10.1063/5.0048714.
7
Thermal expansion properties of organic crystals: a CSD study.有机晶体的热膨胀特性:一项剑桥晶体结构数据库研究
Chem Sci. 2021 May 3;12(24):8537-8547. doi: 10.1039/d1sc01076j.
8
rSCAN-D4: Dispersion corrected meta-generalized gradient approximation for general chemical applications.rSCAN-D4:用于一般化学应用的色散校正元广义梯度近似法。
J Chem Phys. 2021 Feb 14;154(6):061101. doi: 10.1063/5.0041008.
9
DFTB+, a software package for efficient approximate density functional theory based atomistic simulations.DFTB+,一个用于基于高效近似密度泛函理论的原子模拟的软件包。
J Chem Phys. 2020 Mar 31;152(12):124101. doi: 10.1063/1.5143190.
10
Revised values for the X23 benchmark set of molecular crystals.X23 基准分子晶体集的修订值。
Phys Chem Chem Phys. 2019 Nov 28;21(44):24333-24344. doi: 10.1039/c9cp04488d. Epub 2019 Nov 1.