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相关概念视频

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

1.9K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
1.9K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

937
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
937
IR Absorption Frequency: Hybridization01:21

IR Absorption Frequency: Hybridization

712
Hydrocarbons such as alkanes, alkenes, and alkynes show characteristic C–H stretching absorption bands. These IR stretching frequencies depend on the hybridization of the involved carbon atom and can be explained in terms of the s character of each hybridized atomic orbital.
Among the sp, sp2, and sp3 hybridized orbitals, sp orbitals have the maximum s character (50%). Consequently, the electrons are held more closely to the nucleus, resulting in stronger and shorter C–H bonds that...
712
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.4K
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...
2.4K
IR Spectrum Peak Intensity: Amount of IR-Active Bonds00:55

IR Spectrum Peak Intensity: Amount of IR-Active Bonds

659
When infrared radiation is passed through a molecule, absorption occurs if the molecule's vibration leads to a substantial change in its bond dipole moment. Transitions between vibrational energy levels, typically corresponding to infrared frequencies (4000–400 cm−1), allow absorption if the vibration significantly alters the dipole moment, making the molecule infrared active. The molecular bonds have different stretching and bending vibrations, resulting in various peaks with...
659
IR Absorption Frequency: Delocalization01:04

IR Absorption Frequency: Delocalization

834
Electron delocalization refers to the distribution of electrons across multiple atoms within a molecule rather than being confined to a single atom or bond. This phenomenon is common in systems with conjugated bonds—structures where alternating single and double bonds allow π-electrons to move freely across the network. The movement of electrons stabilizes the molecule and can affect various chemical properties, including vibrational frequencies observed in IR spectroscopy.
In IR...
834

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相关实验视频

Updated: Jul 17, 2025

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

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连续体中的红外界限状态:随机森林方法.

M S Molokeev, A S Kostyukov, A E Ershov

    Optics letters
    |September 1, 2023
    PubMed
    概括

    我们使用机器学习来预测介电元表面的连续 (BICs) 中的红外光学束状态. 随机森林模型准确地预测BIC频率和光谱带,优于传统方法.

    科学领域:

    • 光子学和元材料研究
    • 计算物理 计算物理
    • 机器学习应用 机器学习应用

    背景情况:

    • 连续性的光学束状态 (BICs) 是波物理学的基本现象.
    • 全介电超表面为操纵光提供了独特的光学特性.
    • 预测BIC行为需要理解复杂的结构-属性关系.

    研究的目的:

    • 为了研究连续 (BICs) 中的红外光学束状态.
    • 使用机器学习开发BIC频率的预测模型.
    • 将机器学习性能与传统方法进行比较.

    主要方法:

    • 采用了一种由亚波长介电网格组成的全介电元表面.
    • 应用随机森林机器学习算法用于预测建模.
    • 分析了BIC频率对光学和几何参数的依赖性.

    主要成果:

    • 随机森林方法在约4000个数据点的数据集中,与最小平方方法相比,显示出更高的性能.
    • 成功预测了BIC落入的特定红外子频段.
    • 确定了影响BIC波长的关键特征参数.

    结论:

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    Diffuse Reflectance Infrared Spectroscopic Identification of Dispersant/Particle Bonding Mechanisms in Functional Inks
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    O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
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    Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
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    Diffuse Reflectance Infrared Spectroscopic Identification of Dispersant/Particle Bonding Mechanisms in Functional Inks
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    Diffuse Reflectance Infrared Spectroscopic Identification of Dispersant/Particle Bonding Mechanisms in Functional Inks

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    • 机器学习,特别是随机森林,是预测介电元表面BIC属性的强大工具.
    • 这种方法提高了使用BIC的光学设备的理解和设计.
    • 识别的特征参数为目标的地表工程提供了洞察力.