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相关概念视频

Molecular Spectroscopy: Absorption and Emission01:14

Molecular Spectroscopy: Absorption and Emission

1.0K
Molecules possess discrete energy levels called quantum states. Unlike atoms, which have simpler energy levels, molecules possess additional rotational and vibrational energy levels.  Each energy level is separated by an energy gap, with the gaps between adjacent electronic, vibrational, and rotational levels varying significantly. The three types of energy levels in a diatomic molecule are shown in Figure 1.
1.0K
Deactivation Processes: Jablonski Diagram01:25

Deactivation Processes: Jablonski Diagram

520
Luminescence, the emission of light by a substance that has absorbed energy, is a process that involves the interaction of molecules with light. The energy-level diagram, or Jablonski diagram, is a graphical representation of these interactions, illustrating the various states and transitions a molecule can undergo. In a typical Jablonski diagram, the lowest horizontal line represents the ground-state energy of the molecule, which is usually a singlet state. This state represents the energies...
520
Arrhenius Plots02:34

Arrhenius Plots

37.9K
The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can...
37.9K
Potential Energy00:52

Potential Energy

38.1K
The energy stored by a structure and location of matter in space is called potential energy. For instance, raising a kettlebell changes its spatial location and increases its potential energy. Similarly, a stretched rubber band contains potential energy which, under certain conditions, can be converted into other forms of energy, such as kinetic energy.
Chemical bonds that form attractive forces between atoms also contain potential energy, called chemical energy. When a chemical reaction...
38.1K
UV–Vis Spectroscopy: Molecular Electronic Transitions01:16

UV–Vis Spectroscopy: Molecular Electronic Transitions

1.3K
In Ultraviolet–Visible (UV–Vis) spectroscopy, the absorption of electromagnetic radiation is used to probe the electronic structure of molecules. This technique provides insights into molecular electronic transitions, particularly the movement of electrons between different molecular orbitals. Radiation is absorbed if the energy of the electromagnetic radiation passing through the molecule is precisely equal to the energy difference between the excited and ground states. During this...
1.3K
Photochemical Electrocyclic Reactions: Stereochemistry01:26

Photochemical Electrocyclic Reactions: Stereochemistry

1.8K
The absorption of UV–visible light by conjugated systems causes the promotion of an electron from the ground state to the excited state. Consequently, photochemical electrocyclic reactions proceed via the excited-state HOMO rather than the ground-state HOMO. Since the ground- and excited-state HOMOs have different symmetries, the stereochemical outcome of electrocyclic reactions depends on the mode of activation; i.e., thermal or photochemical.
Selection Rules: Photochemical Activation
1.8K

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相关实验视频

Updated: May 16, 2025

Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F&#8722;
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Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F−

Published on: July 27, 2018

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机器学习潜在能量表面在光解离过程中的影响.

Joaquin de la Cerda1, Johan F Triana1

  • 1Department of Physics, Universidad Católica del Norte, Av. Angamos 0610, Antofagasta, Chile.

Chaos (Woodbury, N.Y.)
|April 1, 2025
PubMed
概括

机器学习潜在能量表面 (ML-PES) 显示了量子分子动力学的前景,准确地预测了弗兰克-康登地区附近半重水的解离概率. 对于复杂的高能动态,标准的插值方法仍然更有效.

科学领域:

  • 计算化学计算化学
  • 量子动力学 量子动力学是什么?
  • 机器学习应用 机器学习应用

背景情况:

  • 多态量子分子动力学为化学反应预测提供了高精度.
  • 对潜在能量表面 (PES) 的初始计算在计算上昂贵,特别是在较大的系统中.
  • 机器学习 (ML) 为计算分子性质提供了一个资源高效的替代方案.

研究的目的:

  • 评估ML插入的PES在解决水光动力学的时间依赖的施罗丁格方程中的准确性.
  • 统计分析一开始数据集大小对ML-PES准确度的影响.
  • 为了将ML-PES性能与IR+UV破解过程的分析解决方案进行比较.

主要方法:

  • 量子分子动力学模拟使用ML插入的潜在能量表面.
  • 对预期值和分离概率的统计分析.
  • 与精确的光动力学解决方案进行比较,这些解决方案来自对基和激发电子状态的分析表达式.

主要成果:

  • 在法兰克-康登地区,ML-PES显示出适用于动态计算的适用性.
  • 对于离散和排斥的电子状态区域,标准的插值方法被证明更有效.
  • 开始点的数量显著影响了ML-PES对动态的准确性.

更多相关视频

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

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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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相关实验视频

Last Updated: May 16, 2025

Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F&#8722;
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Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F−

Published on: July 27, 2018

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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

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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

Published on: April 8, 2020

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结论:

  • ML-PES可以有效地集成到分子动力学中,以降低计算成本,准确地预测分离产量.
  • 需要仔细考虑在高能耗地区的ML模型限制.
  • 这项工作推进了ML在多态动态计算中的应用.