• 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

PAH101:一个包含101种多环芳烃(PAH)分子晶体的基因关联研究与牛海绵状脑病数据集

PAH101: A GW+BSE Dataset of 101 Polycyclic Aromatic Hydrocarbon (PAH) Molecular Crystals.

作者信息

Gao Siyu, Liu Xingyu, Luo Yiqun, Wang Xiaopeng, Zhao Kaiji, Chang Vincent, Schatschneider Bohdan, Marom Noa

机构信息

Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.

Department of Physics, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.

出版信息

Sci Data. 2025 Apr 23;12(1):679. doi: 10.1038/s41597-025-04959-0.

DOI:10.1038/s41597-025-04959-0
PMID:40268957
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12019249/
Abstract

The excited-state properties of molecular crystals are important for applications in organic electronic devices. The GW approximation and Bethe-Salpeter equation (GW+BSE) is the state-of-the-art method for calculating the excited-state properties of crystalline solids with periodic boundary conditions. We present the PAH101 dataset of GW+BSE calculations for 101 molecular crystals of polycyclic aromatic hydrocarbons (PAHs) with up to  ~500 atoms in the unit cell. To the best of our knowledge, this is the first GW+BSE dataset for molecular crystals. The data records include the GW quasiparticle band structure, the fundamental band gap, the static dielectric constant, the first singlet exciton energy (optical gap), the first triplet exciton energy, the dielectric function, and optical absorption spectra for light polarized along the three lattice vectors. The dataset can be used to (i) discover materials with desired electronic/optical properties, (ii) identify correlations between DFT and GW+BSE quantities, and (iii) train machine learned models to help in materials discovery efforts.

摘要

分子晶体的激发态性质对于有机电子器件的应用至关重要。GW近似和贝叶斯-萨尔皮特方程(GW+BSE)是用于计算具有周期性边界条件的晶体固体激发态性质的最先进方法。我们展示了PAH101数据集,该数据集包含了101种多环芳烃(PAH)分子晶体的GW+BSE计算结果,每个晶胞中原子数最多可达约500个。据我们所知,这是首个关于分子晶体的GW+BSE数据集。数据记录包括GW准粒子能带结构、基本带隙、静态介电常数、第一单重态激子能量(光学带隙)、第一三重态激子能量、介电函数以及沿三个晶格向量偏振的光的光吸收光谱。该数据集可用于:(i)发现具有所需电子/光学性质的材料;(ii)识别密度泛函理论(DFT)与GW+BSE量之间的相关性;(iii)训练机器学习模型以助力材料发现工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/1eada248e0e9/41597_2025_4959_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/3b92069f6908/41597_2025_4959_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/59337575be8d/41597_2025_4959_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/97148306739c/41597_2025_4959_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/5de7a8efcf69/41597_2025_4959_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/1eada248e0e9/41597_2025_4959_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/3b92069f6908/41597_2025_4959_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/59337575be8d/41597_2025_4959_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/97148306739c/41597_2025_4959_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/5de7a8efcf69/41597_2025_4959_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be80/12019249/1eada248e0e9/41597_2025_4959_Fig5_HTML.jpg

相似文献

1
PAH101: A GW+BSE Dataset of 101 Polycyclic Aromatic Hydrocarbon (PAH) Molecular Crystals.PAH101:一个包含101种多环芳烃(PAH)分子晶体的基因关联研究与牛海绵状脑病数据集
Sci Data. 2025 Apr 23;12(1):679. doi: 10.1038/s41597-025-04959-0.
2
Fragment-Based Excited-State Calculations Using the GW Approximation and the Bethe-Salpeter Equation.基于片段的激发态计算:使用GW近似和贝叶斯-萨尔皮特方程
J Phys Chem A. 2021 Dec 16;125(49):10580-10592. doi: 10.1021/acs.jpca.1c07337. Epub 2021 Dec 6.
3
Computational Discovery of Intermolecular Singlet Fission Materials Using Many-Body Perturbation Theory.使用多体微扰理论对分子间单重态裂变材料进行计算发现
J Phys Chem C Nanomater Interfaces. 2024 May 1;128(19):7841-7864. doi: 10.1021/acs.jpcc.4c01340. eCollection 2024 May 16.
4
Accuracy Assessment of GW Starting Points for Calculating Molecular Excitation Energies Using the Bethe-Salpeter Formalism.GW 起点计算分子激发能的精度评估:使用 Bethe-Salpeter 形式。
J Chem Theory Comput. 2018 Apr 10;14(4):2127-2136. doi: 10.1021/acs.jctc.8b00014. Epub 2018 Mar 15.
5
Optical Gaps of Ionic Materials from GW/BSE-in-DFT and CC2-in-DFT.基于密度泛函理论的GW/BSE方法和CC2方法计算离子材料的光学带隙
J Chem Theory Comput. 2024 Nov 12;20(21):9592-9605. doi: 10.1021/acs.jctc.4c00819. Epub 2024 Oct 17.
6
Screening mixing GW/Bethe-Salpeter approach for triplet states of organic molecules.用于有机分子三重态的筛选混合GW/贝里-萨尔皮特方法。
J Phys Condens Matter. 2018 Oct 3;30(39):395501. doi: 10.1088/1361-648X/aadb75. Epub 2018 Aug 20.
7
Benchmarking the GW Approximation and Bethe-Salpeter Equation for Groups IB and IIB Atoms and Monoxides.基准测试 GW 近似和 Bethe-Salpeter 方程对于 IB 族和 IIB 原子和单核氧化物。
J Chem Theory Comput. 2017 May 9;13(5):2135-2146. doi: 10.1021/acs.jctc.7b00123. Epub 2017 Apr 7.
8
Ionized, electron-attached, and excited states of molecular systems with spin-orbit coupling: Two-component GW and Bethe-Salpeter implementations.具有自旋轨道耦合的分子体系的电离态、电子附着态和激发态:双组分GW和贝叶斯-萨尔皮特方法的实现
J Chem Phys. 2019 May 28;150(20):204116. doi: 10.1063/1.5094244.
9
Optical and Electronic Properties of Organic NIR-II Fluorophores by Time-Dependent Density Functional Theory and Many-Body Perturbation Theory: -BSE Approaches.基于含时密度泛函理论和多体微扰理论的有机近红外二区荧光团的光学和电子性质:-BSE方法
Nanomaterials (Basel). 2021 Sep 3;11(9):2293. doi: 10.3390/nano11092293.
10
Strongly Bound Excitons and Anisotropic Linear Absorption in Monolayer Graphullerene.单层石墨炔中强束缚激子与各向异性线性吸收
Nano Lett. 2024 Jun 12;24(23):7033-7039. doi: 10.1021/acs.nanolett.4c01497. Epub 2024 May 28.

本文引用的文献

1
Unsupervised representation learning of Kohn-Sham states and consequences for downstream predictions of many-body effects.科恩-沈(Kohn-Sham)态的无监督表示学习及其对多体效应下游预测的影响。
Nat Commun. 2024 Nov 2;15(1):9481. doi: 10.1038/s41467-024-53748-7.
2
The seventh blind test of crystal structure prediction: structure ranking methods.晶体结构预测的第七次盲测:结构排序方法。
Acta Crystallogr B Struct Sci Cryst Eng Mater. 2024 Dec 1;80(Pt 6):548-74. doi: 10.1107/S2052520624008679.
3
The seventh blind test of crystal structure prediction: structure generation methods.
晶体结构预测的第七次盲测:结构生成方法
Acta Crystallogr B Struct Sci Cryst Eng Mater. 2024 Dec 1;80(Pt 6):517-47. doi: 10.1107/S2052520624007492.
4
Physics-Informed Machine Learning with Data-Driven Equations for Predicting Organic Solar Cell Performance.基于数据驱动方程的物理信息机器学习用于预测有机太阳能电池性能
ACS Appl Mater Interfaces. 2024 Oct 23;16(42):57467-57480. doi: 10.1021/acsami.4c10868. Epub 2024 Oct 10.
5
Machine learning enables the discovery of 2D Invar and anti-Invar monolayers.机器学习助力二维殷钢和反殷钢单分子层的发现。
Nat Commun. 2024 Aug 14;15(1):6977. doi: 10.1038/s41467-024-51379-6.
6
Rapid Estimation of the Intermolecular Electronic Couplings and Charge-Carrier Mobilities of Crystalline Molecular Organic Semiconductors through a Machine Learning Pipeline.通过机器学习流程快速估算晶体分子有机半导体的分子间电子耦合和电荷载流子迁移率
J Phys Chem Lett. 2024 Jul 18;15(28):7206-7213. doi: 10.1021/acs.jpclett.4c01309. Epub 2024 Jul 8.
7
Computational Discovery of Intermolecular Singlet Fission Materials Using Many-Body Perturbation Theory.使用多体微扰理论对分子间单重态裂变材料进行计算发现
J Phys Chem C Nanomater Interfaces. 2024 May 1;128(19):7841-7864. doi: 10.1021/acs.jpcc.4c01340. eCollection 2024 May 16.
8
High-Quality Data Enabling Universality of Band Gap Descriptor and Discovery of Photovoltaic Perovskites.高质量数据助力带隙描述符的通用性及光伏钙钛矿的发现
J Am Chem Soc. 2024 Jul 3;146(26):17636-17645. doi: 10.1021/jacs.4c03507. Epub 2024 May 2.
9
Discovering novel halide perovskite alloys using multi-fidelity machine learning and genetic algorithm.利用多保真机器学习和遗传算法发现新型卤化物钙钛矿合金。
J Chem Phys. 2024 Feb 14;160(6). doi: 10.1063/5.0182543.
10
Learning properties of ordered and disordered materials from multi-fidelity data.从多保真度数据中学习有序和无序材料的特性。
Nat Comput Sci. 2021 Jan;1(1):46-53. doi: 10.1038/s43588-020-00002-x. Epub 2021 Jan 14.