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相关概念视频

X-ray Crystallography02:18

X-ray Crystallography

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The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
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Atomic Force Microscopy01:08

Atomic Force Microscopy

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Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
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相关实验视频

Updated: Sep 13, 2025

Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene
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Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene

Published on: August 22, 2017

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大角收束电子衍射模式通过条件生成对抗网络.

Joseph J Webb1, Richard Beanland2, Rudolf A Römer2

  • 1Department of Physics, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, United Kingdom; Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, United Kingdom.

Ultramicroscopy
|July 25, 2025
PubMed
概括
此摘要是机器生成的。

生成型机器学习快速计算了来自晶体结构的电子衍射模式. 这种人工智能方法还可以从衍射数据中准确地确定晶体结构.

关键词:
布洛克波方法的方法.生成性的对抗性网络.大角收光束电子 difraktion 的电子衍射.机器学习是机器学习.

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Single-Digit Nanometer Electron-Beam Lithography with an Aberration-Corrected Scanning Transmission Electron Microscope
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Single-Digit Nanometer Electron-Beam Lithography with an Aberration-Corrected Scanning Transmission Electron Microscope

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Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
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Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

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相关实验视频

Last Updated: Sep 13, 2025

Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene
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Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene

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Single-Digit Nanometer Electron-Beam Lithography with an Aberration-Corrected Scanning Transmission Electron Microscope
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Single-Digit Nanometer Electron-Beam Lithography with an Aberration-Corrected Scanning Transmission Electron Microscope

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Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
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Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算物理 计算物理
  • 机器学习 机器学习

背景情况:

  • 电子衍射对于晶体结构分析至关重要.
  • 模拟动态电子衍射是计算密集的.
  • 大角收束电子衍射 (LACBED) 提供了详细的结构信息.

研究的目的:

  • 使用机器学习开发一种快速计算动态电子衍射模式的方法.
  • 探索生成模型在分析晶体结构中的应用.
  • 为了能够更快,更准确地确定晶体结构.

主要方法:

  • 使用了条件生成对抗网络 (cGAN).
  • 训练cGAN学习晶体结构潜力和LACBED模式之间的关系.
  • 采用GPU加速用于模式生成.

主要成果:

  • cGAN模型成功地学习了预测潜力与LACBED模式之间的联系.
  • 生成的衍射模式比传统的模拟方法快了数量级.
  • 从衍射模式中准确地检索出预测潜力.

结论:

  • 生成型机器学习为动态电子衍射模拟提供了高效的方法.
  • 这种方法显著加速了LACBED模式的计算.
  • 开发的技术为解决结晶结构决定的逆问题提供了一条新的途径.