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

Cartesian Vector Notation01:28

Cartesian Vector Notation

701
Cartesian vector notation is a valuable tool in mechanical engineering for representing vectors in three-dimensional space, performing vector operations such as determining the gradient, divergence, and curl, and expressing physical quantities such as the displacement, velocity, acceleration, and force. By using Cartesian vector notation, engineers can more easily analyze and solve problems in various areas of mechanical engineering, including dynamics, kinematics, and fluid mechanics. This...
701
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

11.6K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
11.6K
Cartesian Form for Vector Formulation01:26

Cartesian Form for Vector Formulation

574
The Cartesian form for vector formulation is a process to calculate  the moment of force using the position and force vectors. The moment of force is defined as the cross-product of these vectors, making it a vector quantity. The Cartesian form of the position and force vectors involves unit vectors, which can be used to express the cross-product in determinant form.
574
Vector Representation of Complex Numbers01:16

Vector Representation of Complex Numbers

97
Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
Consider a function defined as the product of the complex factors in the numerator divided by the product of the complex factors in the...
97
Graphical and Analytic Representation of Sinusoids01:20

Graphical and Analytic Representation of Sinusoids

354
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
354
Vector Components in the Cartesian Coordinate System01:29

Vector Components in the Cartesian Coordinate System

18.8K
Vectors are usually described in terms of their components in a coordinate system. Even in everyday life, we naturally invoke the concept of orthogonal projections in a rectangular coordinate system. For example, if someone gives you directions for a particular location, you will be told to go a few km in a direction like east, west, north, or south, along with the angle in which you are supposed to move. In a rectangular (Cartesian) xy-coordinate system in a plane, a point in a plane is...
18.8K

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

Tensor-network study of Ising model on infinite hyperbolic dodecahedral lattice.

Physical review. E·2026
Same author

Local and global magnetization on the Sierpiński carpet.

Physical review. E·2023
Same author

Ising ferromagnets and antiferromagnets in an imaginary magnetic field.

Physical review. E·2022
Same author

J_{1}-J_{2} fractal studied by multirecursion tensor-network method.

Physical review. E·2022
Same author

Full nonuniversality of the symmetric 16-vertex model on the square lattice.

Physical review. E·2020
Same author

Finite-m scaling analysis of Berezinskii-Kosterlitz-Thouless phase transitions and entanglement spectrum for the six-state clock model.

Physical review. E·2020

相关实验视频

Updated: May 21, 2025

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

8.8K

超模张力网络的顶点表示.

Matej Mosko1, Maria Polackova1,2, Roman Krcmar1

  • 1Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, SK-845 11 Bratislava, Slovakia.

Physical review. E
|March 19, 2025
PubMed
概括

我们介绍了一个顶点张量网络 (TN) 对于超标格子,发现纠 entropy 独特地识别了几何. 这种方法准确地模拟相位过渡和最低能量的量子态.

科学领域:

  • 凝聚物质物理学 凝聚物质物理学
  • 量子信息理论 量子信息理论
  • 计算物理 计算物理

背景情况:

  • 经典的旋转系统通常在正规格子上进行研究.
  • 张量网络 (TNs) 为模拟量子多体系统提供了一个强大的框架.
  • 超标几何学为物理系统带来了独特的挑战和机会.

研究的目的:

  • 开发一个顶点表示的张量网络 (TN) 对于经典的旋转系统在超标格子上.
  • 在这种过度的TN框架内分析多态自旋系统的行为.
  • 为了研究纠和热力学量对超标几何学的敏感性.

主要方法:

  • 制定一个顶点TN与正规的p面多边形 (p>4) 和协调号码4.
  • 在过度的TN上分析多态自旋系统的参数空间.
  • 计算纠和热力学量.
  • 测试不同阶段过渡顺序的数值准确性.

主要成果:

  • 纠能有效地区分不同的过度波几何形状,与其他热力学量不同.
  • 超标结构的TN导致非临界的批量属性.
  • 边界条件显著影响热力学极限中的总自由能量.

更多相关视频

Visualization of Cortical Modules in Flattened Mammalian Cortices
08:49

Visualization of Cortical Modules in Flattened Mammalian Cortices

Published on: January 22, 2018

12.7K
3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.2K

相关实验视频

Last Updated: May 21, 2025

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

8.8K
Visualization of Cortical Modules in Flattened Mammalian Cortices
08:49

Visualization of Cortical Modules in Flattened Mammalian Cortices

Published on: January 22, 2018

12.7K
3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.2K
  • 顶点TN在相位转换中表现出数值准确性,特别是在最大纠中.
  • 结论:

    • 开发的顶点TN适用于研究超标晶格上最低能量的量子态.
    • 在这些系统中,纠 Entropy 作为过度波形几何学的关键指标.
    • TN框架提供了关于几何,热力学和量子状态之间的相互作用的见解.