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

Electric Field Lines01:25

Electric Field Lines

7.3K
The three-dimensional representation of the electric field of a positive point charge requires tracing the electric field vectors, whose lengths decrease as the square of their distance from the charge and which point away from the charge at each point. This vector field is no doubt challenging to visualize. The visualization of electric fields becomes quickly intractable as the number of charges increases.
The solution to this problem is to use electric field lines, which are not vectors but...
7.3K
Continuous Charge Distributions01:17

Continuous Charge Distributions

6.8K
Imagine a bucket of water. It contains many molecules, of the order of 1026 molecules. Thus, although it contains discrete elements (molecules) at the microscopic level, macroscopically, it can be considered continuous. Small volume elements of water, infinitesimal compared to the bulk of the bucket's volume, still contain many molecules. Under this framework, quantized matter is approximated as continuous for practical purposes.
The electric charge can also be subjected to an analogical...
6.8K
Shunt Admittances01:26

Shunt Admittances

97
Shunt admittances play a crucial role in the analysis of transmission lines, particularly for three-phase systems with neutral conductors. When a uniformly charged conductor is positioned above the Earth, it induces an equal but opposite charge on its surface. This interaction creates electric field lines between the conductor and the Earth.
To model this effect, the method of images is employed. This method involves replacing the Earth with an image conductor that mirrors the original...
97
Electric Field01:16

Electric Field

10.5K
Consider two point charges, each exerting Coulomb force on the other. It is possible to describe the Coulomb interaction via an intermediate step by defining a new physical quantity called the electric field.
In the new picture, imagine that the first charge sets up an electric field independent of all other charges in the universe. When another charge comes in its vicinity, the second charge experiences an electric force depending on the electric field at that point. The source charge does not...
10.5K
Electric Field of Two Equal and Opposite Charges01:30

Electric Field of Two Equal and Opposite Charges

5.8K
Atoms generally contain the same number of positively and negatively charged particles, protons, and electrons. Hence, they are electrically neutral. However, the centers of the positive and negative charges do not always coincide. In such a scenario, the electric field of an atom may not be zero.
A separation of the positive and negative charges can lead to a weak, remnant effect of the positive and negative charges. The expectation is that the more the distance between the positive and...
5.8K
Calculations of Electric Potential II01:27

Calculations of Electric Potential II

1.6K
An electric dipole is a system of two equal but opposite charges, separated by a fixed distance. This system is used to model many real-world systems, including atomic and molecular interactions. One of these systems is the water molecule, but only under certain circumstances. These circumstances are met inside a microwave oven, where electric fields with alternating directions make the water molecules change orientation. This vibration is equivalent to heat at the molecular level.
Consider a...
1.6K

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

Oxidation and Chlorination Reaction Characteristics: A Density Functional Theory Perspective toward the Fundamental Understanding of Etching of Ruthenium and Tantalum Surfaces.

ACS omega·2026
Same author

Role of optical phonon in fluoride-ion conductivity of LaF3.

The Journal of chemical physics·2025
Same author

Right atrial myxoma after catheter ablation.

Journal of echocardiography·2025
Same author

Uncovering the Dynamics of Li-Au Alloying and Li Nucleation at the Au/LiPON Interface with In Situ <i>Z</i> Contrast and Surface Roughness Contrast Imaging via Scanning Electron Microscopy.

JACS Au·2024
Same author

Enthralling Anodic Protection by Molybdate on High-Entropy Alloy-Based Electrocatalyst for Sustainable Seawater Oxidation.

Small (Weinheim an der Bergstrasse, Germany)·2024
Same author

Machine learning and atomistic origin of high dielectric permittivity in oxides.

Scientific reports·2023

相关实验视频

Updated: May 20, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

442

代表出生有效电荷与等价图的卷积神经网络.

Alex Kutana1, Koji Shimizu2, Satoshi Watanabe3

  • 1Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan.

Scientific reports
|May 14, 2025
PubMed
概括

这项研究引入了一个等价图卷积神经网络,用于准确预测张量材料属性. 基于物理学的网络确保了旋转对称性,改善了对原子有效电荷等属性的预测.

关键词:
同等变量图的卷积神经网络.线性反应是一种线性反应.氧化物 氧化物 氧化物基于物理学的神经网络.原子电荷有效电荷的电位子诞生.

更多相关视频

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.6K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.6K

相关实验视频

Last Updated: May 20, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

442
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.6K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.6K

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学计算化学
  • 机器学习 机器学习

背景情况:

  • 图形卷积神经网络 (GCNs) 是预测材料属性的强大工具.
  • 代表张量属性需要网络权重和描述符与参考框架变化不变.
  • 现有的GCN可能本质上不符合这些张量性质的转换规则.

研究的目的:

  • 开发一个以物理学为基础的等同变量图卷积神经网络 (EGCNN).
  • 为了明确编码旋转对称性,以准确预测张量材料属性.
  • 为了证明网络在预测原子有效电荷方面的表现.

主要方法:

  • 开发了一个等价图卷积神经网络架构.
  • 整合了等价量和描述符,以尊重晶体的旋转对称性.
  • 应用EGCNN来预测各种材料中的原子有效电荷.

主要成果:

  • EGCNN成功地尊重了晶体结构的旋转对称性.
  • 该网络为目标材料属性提供准确的张量输出.
  • 在矿氧化物,Li3PO4和ZrO2.2上表现出良好的性能和一般化能力.

结论:

  • 同等变量图卷积神经网络对于学习张量材料属性是有效的.
  • 拟议的EGCNN确保了物理约束,从而可以进行可靠的预测.
  • 这种方法提高了机器学习模型在材料科学中的准确性和通用性.