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相关概念视频

Atomic Orbitals02:44

Atomic Orbitals

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An atomic orbital represents the three-dimensional regions in an atom where an electron has the highest probability to reside. The radial distribution function indicates the total probability of finding an electron within the thin shell at a distance r from the nucleus. The atomic orbitals have distinct shapes which are determined by l, the angular momentum quantum number. The orbitals are often drawn with a boundary surface, enclosing densest regions of the cloud.
33.4K
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

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Molecular Orbital Energy Diagrams
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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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Molecular Orbital Theory I02:35

Molecular Orbital Theory I

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Overview of Molecular Orbital Theory
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Hybridization of Atomic Orbitals II03:35

Hybridization of Atomic Orbitals II

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sp3d and sp3d 2 Hybridization
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Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

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The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
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相关实验视频

Updated: Jun 18, 2025

Three-Dimensional Reconstruction of Orbital Fractures
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在xTC跨相关方法中进行轨道优化.

Daniel Kats1, Evelin M C Christlmaier1, Thomas Schraivogel1

  • 1Max Planck Institute for Solid State Research, Heisenbergstr. 1, 70569 Stuttgart, Germany. d.kats@fkf.mpg.de.

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|July 29, 2024
PubMed
概括
此摘要是机器生成的。

我们将双直角轨道优化与跨相关性 (xTC) 方法结合起来. 这提高了量子化学计算的准确性,为电子结构研究提供了新的可能性.

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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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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
  • 电子结构理论 电子结构理论

背景情况:

  • 超相关性 (xTC) 方法为电子结构问题提供了准确的解决方案.
  • 标准的xTC方法可以是计算密集的.
  • 轨道优化对于提高量子化学方法的效率和准确性至关重要.

研究的目的:

  • 将双直角轨道优化与xTC框架集成在一起.
  • 为了使跨相关汉密尔顿式的非代扰动方法.
  • 评估轨道优化对截断方法的影响,例如具有单个和双重的可区分集群.

主要方法:

  • 双直角轨道优化和xTC的组合.
  • 实施非代性扰动方法.
  • 适用于具有单个和双重的可区分集群.

主要成果:

  • 与标准xTC相比,结合方法的准确性得到了改善.
  • 展示了轨道优化对其他截断方法的影响.
  • 在这个框架内详细讨论了轨道优化的优点和缺点.

结论:

  • 轨道优化与xTC的整合提高了计算精度.
  • 这种方法为先进的电子结构计算提供了一个强大的框架.
  • 这项研究强调了量子化学中轨道优化的好处和局限性.