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相关概念视频

Electron Orbital Model01:18

Electron Orbital Model

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Orbitals are the areas outside of the atomic nucleus where electrons are most likely to reside. They are characterized by different energy levels, shapes, and three-dimensional orientations. The location of electrons is described most generally by a shell or principal energy level, then by a subshell within each shell, and finally, by individual orbitals found within the subshells.
The first shell is closest to the nucleus, and it has only one subshell with a single spherical orbital called the...
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π Electron Effects on Chemical Shift: Overview01:27

π Electron Effects on Chemical Shift: Overview

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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,...
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Electron Microscope Tomography and Single-particle Reconstruction01:07

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
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Electronic Structure of Atoms02:28

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An atom comprises protons and neutrons, which are contained inside the dense, central core called the nucleus, with electrons present around the nucleus. Taking into account the wave–particle duality of electrons and the uncertainty in position around the nucleus, quantum mechanics provides a more accurate model for the atomic structure. It describes atomic orbitals as the regions around the nucleus where electrons of discrete energy exist, characterized by four quantum...
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VSEPR Theory for Determination of Electron Pair Geometries
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Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
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Updated: Jan 14, 2026

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通过数据驱动的CASPT2框架,通过机器学习捕获电子相关性.

Grier M Jones1,2,3, Konstantinos D Vogiatzis1

  • 1Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37996, United States.

Journal of chemical theory and computation
|October 22, 2025
PubMed
概括
此摘要是机器生成的。

我们引入了一种数据驱动的CASPT2方法来捕获电子相关性. 这种机器学习方法的准确性与传统的CASPT2方法相美.

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科学领域:

  • 量子化学 是一个量子化学.
  • 计算物理 计算物理
  • 机器学习 机器学习

背景情况:

  • 多参考扰动理论,包括完整的活性空间二次扰动理论 (CASPT2),对于在电子结构计算中计算电子相关性至关重要.
  • 准确描述电子相关性对于预测分子性质至关重要.

研究的目的:

  • 引入一种新的数据驱动的CASPT2 (DDCASPT2) 方法来捕获动态电子相关性.
  • 评估DDCASPT2在各种系统和基础集大小中的性能.
  • 利用机器学习和SHAP分析来提高电子结构计算的准确性.

主要方法:

  • 开发基于数据的CASPT2 (DDCASPT2) 方法,利用低级电子结构理论 (Hartree-Fock,CASSCF) 的特征.
  • 对DDCASPT2性能进行系统检查,使用不同的系统大小,基础集和两个电子激发的数量.
  • 应用夏普利添加式扩张 (SHAP) 分析来解释DDCASPT2模型中使用的基于物理的特征.

主要成果:

  • DDCASPT2方法有效地捕捉了动态电子相关性.
  • 在多种不同的分子组上评估了性能,在系统大小和基准组变化方面证明了稳定性.
  • SHAP分析提供了有关机器学习模型特征的物理相关性的见解.

结论:

  • DDCASPT2方法提供了一个可行的基于机器学习的替代传统CASPT2.
  • 在动态电子相关性方面,其精度与传统的CASPT2相美.
  • 为提高计算化学效率和准确性提供了一个有希望的方向.