图形神经网络可以预测有机半导体中的原子过渡电荷和激子合
Geoffrey R Weal1,2, Maryam Nurhuda1, Justin M Hodgkiss2,3,4
1Institute for Integrated Cell-Material Sciences (iCeMS), Kyoto University, Kyoto, Japan.
The Journal of chemical physics
|July 10, 2025
概括
这项研究引入了一个图形神经网络 (GNN),以准确预测有机半导体中的激子合,克服了以前模型的局限性,以更快地选材料.
科学领域:
- 材料科学 材料科学 材料科学
- 计算化学的计算化学
- 有机电子 有机电子
背景情况:
- 刺激子合对于模拟有机半导体中的刺激子扩散至关重要.
- 刺激子合的第一原理计算在计算上很昂贵.
- 现有的机器学习模型在各种有机材料中缺乏通用性.
研究的目的:
- 开发一种可通用的机器学习模型,用于预测有机分子之间的激子合.
- 为了能够准确和高效地预测激子合,用于高通量虚拟选.
主要方法:
- 使用图形神经网络 (GNN) 架构.
- 采用原子过渡电荷作为中间特征.
- 在剑桥晶体数据中心的化环电子接受器 (FREAs) 和各种晶体结构上训练并验证了该模型.
主要成果:
- GNN准确地预测了FREA和其他有机分子的激子合.
- 与以前的方法相比,该模型显示出更高的概括性.
- 预测的合方便精确模拟刺激子扩散.
结论:
- 开发的GNN模型克服了先前机器学习的激子合预测器的局限性.
- 这一进步为光伏应用中有机材料的高通量虚拟选提供了便利.
- 这种方法加速了新型有机半导体材料的发现.
相关概念视频
Predicting Molecular Geometry
36.2K
VSEPR Theory for Determination of Electron Pair Geometries
36.2K
Valence Bond Theory and Hybridized Orbitals
22.0K
According to valence bond theory, a covalent bond results when: (1) an orbital on one atom overlaps an orbital on a second atom, and (2) the single electrons in each orbital combine to form an electron pair. The strength of a covalent bond depends on the extent of overlap of the orbitals involved. Maximum overlap is possible when the orbitals overlap on a direct line between the two nuclei.
A σ bond (single bond in a Lewis structure) is a covalent bond in which the electron density is...
A σ bond (single bond in a Lewis structure) is a covalent bond in which the electron density is...
22.0K
Inductive Effects on Chemical Shift: Overview
1.3K
The protons in unsubstituted alkanes are strongly shielded with chemical shifts below 1.8 ppm. Methine, methylene, and methyl protons appear at approximately 1.7, 1.2 and 0.7 ppm, while the proton signal from methane appears at 0.23 ppm. An electronegative substituent, such as chlorine, withdraws the electron density from the protons, increasing their chemical shift. Progressive substitution of the hydrogens in methane by chlorine shifts the proton signals increasingly downfield, to 3.05 ppm in...
1.3K
π Electron Effects on Chemical Shift: Overview
1.1K
An applied magnetic field causes loosely bound π-electrons in organic molecules to circulate, producing a local or induced diamagnetic field over a large spatial volume. As the molecules tumble in solution, the field generated by π-electrons in spherical substituents results in a zero net field. However, the net field generated by π-electrons in non-spherical substituents is not zero. The effect of this induced field depends on the orientation of the molecule with respect to B0,...
1.1K
Energy Diagrams, Transition States, and Intermediates
17.4K
Free-energy diagrams, or reaction coordinate diagrams, are graphs showing the energy changes that occur during a chemical reaction. The reaction coordinate represented on the horizontal axis shows how far the reaction has progressed structurally. Positions along the x-axis close to the reactants have structures resembling the reactants, while positions close to the products resemble the products. Peaks on the energy diagram represent stable structures with measurable lifetimes, while...
17.4K
π Electron Effects on Chemical Shift: Aromatic and Antiaromatic Compounds
1.3K
In aromatic compounds, such as benzene, the circulation of (4n + 2) π-electrons sets up a diamagnetic or diatropic ring current around the perimeter of the molecule. This current induces a magnetic field that opposes the external field inside the ring and reinforces it on the outside. The protons in benzene are deshielded and exhibit high chemical shifts in the range 6.5–8.5 ppm. The shielding effect at the center of the ring is evident in complex aromatic molecules, such as...
1.3K


