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相关概念视频

Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

3.5K
Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

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AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
565
Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

651
Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
651
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.5K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.5K
Molecular Spectroscopy: Absorption and Emission01:14

Molecular Spectroscopy: Absorption and Emission

4.3K
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.
4.3K
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.4K
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
1.4K

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相关实验视频

Updated: Jan 16, 2026

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
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数据驱动的ELNES/XANES分析:预测光谱,揭示结构和量化属性.

Teruyasu Mizoguchi1

  • 1Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro, Tokyo 113-8505, Japan.

Microscopy (Oxford, England)
|October 5, 2025
PubMed
概括
此摘要是机器生成的。

数据驱动的方法彻底改变了核心损失光谱学 (电子能量损失近边缘结构/ELNES和X射线吸收近边缘结构/XANES). 这些先进的技术加速模拟,提取材料特性,并使更快的材料发现.

关键词:
鱼 鱼 鱼 鱼 鱼埃尔内斯·埃尔内斯 (ELNES) 是一个在XAFS中,我们可以使用XAFS.克萨内斯 (Xanes) 是一个名字.数据驱动的数据驱动.机器学习是机器学习.

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Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092
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High-Resolution Neutron Spectroscopy to Study Picosecond-Nanosecond Dynamics of Proteins and Hydration Water
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相关实验视频

Last Updated: Jan 16, 2026

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科学领域:

  • 材料科学 材料科学 材料科学
  • 频谱学是一种光谱学.
  • 计算材料科学科学 计算材料科学

背景情况:

  • 像ELNES和XANES这样的核心损失光谱仪对于材料的表征至关重要.
  • 传统分析依赖于定性解释或参考光谱.
  • 量化分析和预测能力存在局限性.

研究的目的:

  • 审查ELNES/XANES分析的新型数据驱动方法.
  • 要突出超越传统光谱解释的进展.
  • 展示加速材料发现的潜力.

主要方法:

  • 机器学习 (ML) 和数据驱动方法对光谱数据的应用.
  • 开发加速ELNES/XANES模拟的方法.
  • 使用灵敏度分析来解释ML模型的预测.

主要成果:

  • 数据驱动的方法可以进行辐射分布函数的定量提取.
  • 多种材料的性能可以直接从光谱数据量化.
  • 加快模拟和提高ML模型的解释性.

结论:

  • 新的数据驱动方法显著提高了ELNES/XANES分析.
  • 这些方法促进了更深入的理解和更快的材料发现.
  • 未来的目标是用于材料科学的自动化,可解释和可扩展的光谱学.