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

Thermosensation01:43

Thermosensation

29.7K
Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
29.7K
Glassware Calibration01:11

Glassware Calibration

2.0K
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
2.0K
Temperature Dependent Deformation01:12

Temperature Dependent Deformation

728
In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
728

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

Synthesis, Properties, and Enantioseparation of Four-Ring Racemic Smectics.

Materials (Basel, Switzerland)·2026
Same author

Selective Reflection of Light in Glassforming Ternary Liquid Crystalline Mixtures.

The journal of physical chemistry. B·2026
Same author

Isotopic and Confinement Effects on the Phase Behavior and Molecular Dynamics of Protonated and Deuterated Terphenyls in Electrospun Fibers.

The journal of physical chemistry. B·2026
Same author

Transitions between Liquid Crystalline Phases Investigated by Dielectric and Infrared Spectroscopies.

The journal of physical chemistry. B·2026
Same author

Synthesis, Mesophases, and Combined Thermal, Structural, and Spectroscopic Analysis of Photoresponsive Azobenzene Alkanoates (<b>10OABOOC</b><i>m</i>).

The journal of physical chemistry. B·2025
Same author

Magnetoelastic effect in R<sub>5</sub>Pt<sub>2</sub>In<sub>4</sub> (R = Tb-Tm) investigated by neutron powder diffraction.

Acta crystallographica Section B, Structural science, crystal engineering and materials·2025

相关实验视频

Updated: Apr 25, 2026

Simultaneous Imaging of Microglial Dynamics and Neuronal Activity in Awake Mice
08:26

Simultaneous Imaging of Microglial Dynamics and Neuronal Activity in Awake Mice

Published on: August 23, 2022

2.3K

一个语神经网络框架用于玻璃过渡识别.

Natalia Osiecka-Drewniak1, Aleksandra Deptuch1, Magdalena Urbańska2

  • 1Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland. Natalia.Osiecka-Drewniak@ifj.edu.pl.

Soft matter
|February 21, 2024
PubMed
概括

通过使用罗神经网络的深度学习方法,通过分析微观纹理,成功地区分了液晶中的微妙相变. 这种方法有效地区分了液晶相与其玻璃状状态.

更多相关视频

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.8K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

相关实验视频

Last Updated: Apr 25, 2026

Simultaneous Imaging of Microglial Dynamics and Neuronal Activity in Awake Mice
08:26

Simultaneous Imaging of Microglial Dynamics and Neuronal Activity in Awake Mice

Published on: August 23, 2022

2.3K
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.8K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

科学领域:

  • 材料科学 材料科学 材料科学
  • 凝聚物质物理学 凝聚物质物理学
  • 人工智能的人工智能

背景情况:

  • 液晶表现出复杂的相变,通常涉及分子排序的微妙变化.
  • 由于类似的微观纹理,区分液晶相和相应的玻璃状状态可能具有挑战性.
  • 极化显微镜是可视化这些纹理和识别相位行为的关键技术.

研究的目的:

  • 应用深度学习技术,特别是罗神经网络,用于分析液晶中的相变.
  • 调查罗神经网络在分辨微妙转换方面的能力,例如液晶相和它们的玻璃之间.
  • 详细介绍使用各种卷积神经网络架构实现和测试一个语神经网络.

主要方法:

  • 利用一个罗神经网络,一个深度学习架构,旨在比较图像对.
  • 采用液晶的极化微观纹理,包括抗铁电性CA*,性I,性G相及其玻璃.
  • 用三个不同的卷积神经网络模型测试了语神经网络实现.

主要成果:

  • 西安神经网络在区分特定液晶相和其玻璃相之间的纹理方面表现出很高的能力.
  • 该网络成功地发现了微妙的阶段过渡,传统的结构变化最小.
  • 在不同卷积神经网络架构中评估了性能,这些架构集成到语框架中.

结论:

  • 罗神经网络提供了一种强大而有效的工具,用于分析基于微观纹理分析的液晶中的微妙相变.
  • 这种深度学习方法提供了一个强大的方法来区分不同的阶段和它们的玻璃状态,即使具有视觉上相似的纹理.
  • 这项研究强调了人工智能在促进理解和描述液晶等复杂材料方面的潜力.