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相关概念视频

IR Spectrometers01:25

IR Spectrometers

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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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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...
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IR Spectrum01:19

IR Spectrum

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When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0%...
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Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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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...
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IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

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In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
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图形转换器-IR:图形转换器使用高度专业化的注意力预测实验性IR光谱.

Cailum M K Stienstra1, Liam Hebert2, Patrick Thomas1

  • 1Department of Chemistry, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.

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概括

图形神经网络变压器Graphormer-IR能够准确地预测来自分子结构的红外光谱. 这种人工智能模型超越了现有的方法,为实验化学提供了更快的计算反.

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科学领域:

  • 计算化学的计算化学
  • 频谱学是一种光谱学.
  • 机器学习 机器学习

背景情况:

  • 红外 (IR) 光谱对于化学和法医分析至关重要.
  • 开发准确和快速的*in silico*光谱预测方法对于实时实验反至关重要.
  • 当前的计算模型在复杂的光谱特征的速度和准确性方面面临挑战.

研究的目的:

  • 开发一个高精度和高效的计算模型来预测红外光谱.
  • 使用Graphormer,一个图形神经网络 (GNN) 变压器,仅从简化分子输入线输入系统 (SMILES) 字符串进行IR光谱预测.
  • 调查增强节点嵌入对光谱预测准确性的影响.

主要方法:

  • 采用GNN变压器架构的Graphormer,用于IR光谱预测.
  • 利用了5个实验媒介中的53 528个高质量红外光谱的数据集.
  • 整合了新的架构特征,包括用于相位编码的全局节点,学习节点特征嵌入,以及1D光滑卷积神经网络 (CNN).

主要成果:

  • 图形造型器-IR实现了0.8449 ± 0.0012的平均测试光谱信息相似性 (SISμ),超过了最先进的Chemprop-IR.
  • 用额外的描述符增加节点嵌入,使SISμ得分提高到0.8523 ± 0.0006.
  • 该模型有效地捕获了长距离相互作用,非和的峰值位置和不常见的功能组的伸展频率.

结论:

  • 与现有方法相比,Graphormer-IR在预测红外光谱方面表现优越.
  • 该模型的架构擅长捕捉复杂的分子相互作用和光谱细节.
  • 这种方法为加速计算化学和实验光谱学提供了巨大的潜力.