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相关概念视频

Molecular Orbital Theory II03:51

Molecular Orbital Theory II

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Molecular Orbital Energy Diagrams
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Molecular Models02:00

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Hybridization of Atomic Orbitals I03:24

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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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Hybridization of Atomic Orbitals II03:35

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sp3d and sp3d 2 Hybridization
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MO Theory and Covalent Bonding02:40

MO Theory and Covalent Bonding

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The molecular orbital theory describes the distribution of electrons in molecules in a manner similar to the distribution of electrons in atomic orbitals. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Mathematically, the linear combination of atomic orbitals (LCAO) generates molecular orbitals. Combinations of in-phase atomic orbital wave functions result in regions with a high probability of electron density, while...
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Molecular Geometry and Dipole Moments02:36

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The VSEPR theory can be used to determine the electron pair geometries and molecular structures as follows:
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相关实验视频

Updated: Jan 14, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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交换两原子分子的蒙特卡洛算法

Till Böhmer1, Jeppe C Dyre2, Lorenzo Costigliola2

  • 1German Aerospace Center, Roskilde University, Glass and Time, IMFUFA, Department of Science and Environment, P.O. Box 260, DK-4000 Roskilde, Denmark and Institute of Frontier Materials on Earth and in Space, D-51147 Cologne, Germany.

Physical review. E
|October 21, 2025
PubMed
概括
此摘要是机器生成的。

交换蒙特卡洛方法有效地平衡分子液体,使用新的尺寸多分散模型. 这一进步大大加快了对复杂超冷液体的模拟.

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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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相关实验视频

Last Updated: Jan 14, 2026

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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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科学领域:

  • 计算物理学的计算物理.
  • 材料科学是一种材料科学.
  • 化学工程是化学工程的组成部分.

背景情况:

  • 超冷液体在材料科学和化学中至关重要.
  • 传统的模拟方法与分子液体平衡作斗争.
  • 交换蒙特卡罗 (SMC) 在球形粒子方面表现出色,但不是分子系统.

研究的目的:

  • 开发一个高效的计算模型来模拟分子超冷液体.
  • 为复杂的分子系统适应交换蒙特卡洛方法.
  • 为了实现分子液体的热平衡显著加快.

主要方法:

  • 一个简单的大小多分散分子模型的介绍.
  • 将交换蒙特卡洛算法应用于新模型.
  • 对大小解析的定向时间自相关函数的分析.

主要成果:

  • 证明了分子液体在中有效的热平衡.
  • 在5%-10%的多分散度下,估计实现了10^3-10^6的加速度.
  • 观察到尺寸解决方向动态的最小差异.

结论:

  • 提出的分子模型和SMC方法克服了以前方法的局限性.
  • 这项工作可以更准确,更快速地对现实世界超冷液体进行模拟.
  • 该方法适用于各种需要高效平衡的分子系统.