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相关概念视频

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

1.3K
A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
1.3K
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.1K
When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
2.1K
Molecular Spectroscopy: Absorption and Emission01:14

Molecular Spectroscopy: Absorption and Emission

2.3K
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.
2.3K
UV–Vis Spectroscopy: Molecular Electronic Transitions01:16

UV–Vis Spectroscopy: Molecular Electronic Transitions

1.4K
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...
1.4K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

998
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
998
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

360
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
360

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相关实验视频

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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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通过物理信息深度学习模型加速分子振动光谱模拟.

Yuzhuo Chen1, Sebastian V Pios1, Maxim F Gelin2

  • 1Zhejiang Laboratory, Hangzhou 311100, China.

Journal of chemical theory and computation
|June 3, 2024
PubMed
概括
此摘要是机器生成的。

一个新的机器学习模型,振动光谱神经网络 (VSpecNN),准确地预测分子振动光谱,包括红外 (IR) 和拉曼光谱,加速化学模拟.

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科学领域:

  • 计算化学的计算化学
  • 量子化学 是一个量子化学.
  • 频谱学是一种光谱学.

背景情况:

  • 机器学习 (ML) 替代模型加速物理和化学模拟.
  • 准确的ML模型用于预测分子振动光谱是稀缺的.

研究的目的:

  • 开发一种高效的多任务ML替代模型,用于准确预测分子振动谱.
  • 使用ML增强的分子动力学计算红外 (IR) 和拉曼光谱.

主要方法:

  • 振动光谱神经网络 (VSpecNN) 模型的开发.
  • 通过ML增强的分子动力学计算双极时刻和极化度.
  • 应用VSpecNN到pyrazine,一个多原子染色体.

主要成果:

  • VSpecNN预测的能量在化学准确度 (1 kcal/mol) 之内.
  • VSpecNN预测的力量显示出一个流行的高性能ML模型的误差的一半.
  • 预测的红外和拉曼频率与初始参考不同5.87厘米-1.
  • 红外光谱强度和拉曼光谱脱极化比率得到了很好的复制.

结论:

  • VSpecNN提供了分子振动光谱的准确预测.
  • 该模型展示了高度准确的神经网络潜力的用途,用于光谱预测.
  • 这项工作促进了ML在计算光谱学中的应用.