Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

X-ray Crystallography02:18

X-ray Crystallography

23.9K
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...
23.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Cerebellum-inspired memtransistors enable emergent differentiation for hardware-efficient novelty detection.

Nature communications·2026
Same author

Impact of Metal Heterogeneity on Multivariate and High-Entropy MOF SBUs.

Journal of the American Chemical Society·2026
Same author

Metal-Phenolic Coatings Enable Universal Design of Spherical Nucleic Acids.

Angewandte Chemie (International ed. in English)·2026
Same author

Correction to "DNA-Mediated Cellular Delivery of Functional Enzymes".

Journal of the American Chemical Society·2026
Same author

High-χ Block Copolymer Nanoreactors for the Confined Synthesis of Size-Controlled Nanoclusters.

ACS nano·2026
Same author

Programmable Stepwise Heteroepitaxial Growth of Colloidal Crystals With Different Phases.

Advanced materials (Deerfield Beach, Fla.)·2026

相关实验视频

Updated: Jul 11, 2025

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin
06:29

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin

Published on: March 3, 2021

5.5K

从电子衍射图案中自动识别晶体系统,使用多视图观点融合机器学习.

Jie Chen1, Hengrui Zhang1, Carolin B Wahl2,3

  • 1Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208.

Proceedings of the National Academy of Sciences of the United States of America
|November 9, 2023
PubMed
概括

这项研究引入了一个新的机器学习框架,用于根据电子衍射模式对晶体结构进行分类,即使是随机定向. 这通过在高通量实验中自动化结构特征来加速纳米材料的发现.

关键词:
晶体系统的结晶系统.电子衍射模式 电子衍射模式机器学习是机器学习.多视图观点融合 意见融合

更多相关视频

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples
10:12

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples

Published on: June 19, 2018

9.1K
Microfluidic Chips for In Situ Crystal X-ray Diffraction and In Situ Dynamic Light Scattering for Serial Crystallography
11:48

Microfluidic Chips for In Situ Crystal X-ray Diffraction and In Situ Dynamic Light Scattering for Serial Crystallography

Published on: April 24, 2018

14.8K

相关实验视频

Last Updated: Jul 11, 2025

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin
06:29

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin

Published on: March 3, 2021

5.5K
Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples
10:12

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples

Published on: June 19, 2018

9.1K
Microfluidic Chips for In Situ Crystal X-ray Diffraction and In Situ Dynamic Light Scattering for Serial Crystallography
11:48

Microfluidic Chips for In Situ Crystal X-ray Diffraction and In Situ Dynamic Light Scattering for Serial Crystallography

Published on: April 24, 2018

14.8K

科学领域:

  • 材料科学 材料科学 材料科学
  • 晶体学 晶体学是指结晶学.
  • 机器学习 机器学习

背景情况:

  • 高通量纳米材料的发现受到缓慢的结构特征的阻碍.
  • 目前的机器学习方法与随机定向晶体的电子衍射模式作斗争.

研究的目的:

  • 开发一个自动化框架,从任意方向的电子衍射模式来对晶体系统进行分类.
  • 提高纳米材料发现中的结构特征的速度和准确性.

主要方法:

  • 开发了一个灵感来自人类决策的框架,用于自动化晶体系统分类.
  • 使用证据深度学习训练了一个卷积神经网络.
  • 量化和利用预测不确定性来融合多视图预测,使用射模式的矢量地图表示.

主要成果:

  • 在所考虑的示例中达到0.94的测试准确性.
  • 在衍射模式中表现出对噪声的强度.
  • 与实验数据保持了显著的准确性.

结论:

  • 机器学习可以显著加速实验性高通量材料数据分析.
  • 开发的框架为自动化晶体结构分类提供了强大的解决方案.
  • 这种方法解决了纳米材料发现的一个关键瓶.