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

Second Order systems II01:18

Second Order systems II

73
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
73
Le Chatelier's Principle: Changing Concentration02:27

Le Chatelier's Principle: Changing Concentration

57.1K
A system at equilibrium is in a state of dynamic balance, with forward and reverse reactions taking place at equal rates. If an equilibrium system is subjected to a change in conditions that affects these reaction rates differently (a stress), then the rates are no longer equal and the system is not at equilibrium. The system will subsequently experience a net reaction in the direction of a greater rate (a shift) that will re-establish the equilibrium. This phenomenon is summarized by Le...
57.1K
Transfer Function to State Space01:23

Transfer Function to State Space

179
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...
179
Difference Equation Solution using z-Transform01:24

Difference Equation Solution using z-Transform

228
The z-transform is a powerful tool for analyzing practical discrete-time systems, often represented by linear difference equations. Solving a higher-order difference equation requires knowledge of the input signal and the initial conditions up to one term less than the order of the equation.
The z-transform facilitates handling delayed signals by shifting the signal in the z-domain, which corresponds to delaying the signal in the time domain, and advancing signals by similarly shifting in the...
228
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

443
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
443
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

35
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
35

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

Optimal parameterization of nonequilibrium generalized master equations from discrete-time experimental data.

ArXiv·2026
Same author

Scaling transferable coarse-graining with mean force matching.

The Journal of chemical physics·2026
Same author

Pushing the Limits of One-Dimensional NMR Spectroscopy for Automated Structure Elucidation Using Artificial Intelligence.

Journal of chemical information and modeling·2026
Same author

Minimally dissipative multibit logical operations.

Physical review. E·2026
Same author

Efficient, Few-shot Directed Evolution with Energy Rank Alignment.

bioRxiv : the preprint server for biology·2026
Same author

Nanoparticle Superlattices Assembled via Rapid Solvent Destabilization of Macromolecular Ligands.

ACS nano·2025
Same journal

Erratum: Spectroscopy and Ground-State Transfer of Ultracold Bosonic ^{39}K^{133}Cs Molecules [Phys. Rev. Lett. 135, 203401 (2025)].

Physical review letters·2026
Same journal

Erratum: Lifetime of the ^{2}F_{7/2} Level in Yb^{+} for Spontaneous Emission of Electric Octupole Radiation [Phys. Rev. Lett. 127, 213001 (2021)].

Physical review letters·2026
Same journal

Laser-Plasma Based Seeded Free Electron Laser in the High-Gain Regime.

Physical review letters·2026
Same journal

Parent Hamiltonians for Stabilizer Quantum Many-Body Scars.

Physical review letters·2026
Same journal

Properties of Heavy Cosmic Nuclei Phosphorus, Chlorine, Argon, Potassium, and Calcium: Results from the Alpha Magnetic Spectrometer.

Physical review letters·2026
Same journal

Role of Spin-Isospin Symmetries in Nuclear β-Decays.

Physical review letters·2026
查看所有相关文章

相关实验视频

Updated: May 20, 2025

New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

8.1K

计算非平衡反应与得分移动的随机微分方程.

Jérémie Klinger1, Grant M Rotskoff1,2

  • 1Stanford University, Department of Chemistry, Stanford, California 94305, USA.

Physical review letters
|March 25, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新方法,用于计算在扩散变化时不平衡系统的反应. 它使用有效的物理过程和得分匹配来进行准确的不平衡响应计算,即使不知道确切的静止分布.

更多相关视频

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.0K

相关实验视频

Last Updated: May 20, 2025

New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

8.1K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.0K

科学领域:

  • 统计力学 统计力学
  • 物理化学 物理化学
  • 计算物理 计算物理

背景情况:

  • 线性响应理论使用平衡波动来解释实验和理解微观动力学.
  • 无平衡系统需要路径集合的平均值来进行响应计算,但这对于影响扩散张量的扰动而言是失败的.
  • 现有的方法不足以分析在随机系统中改变扩散张量的扰动.

研究的目的:

  • 开发一种用于计算随机系统对扩散张量的扰动反应的新方法.
  • 为了使未知静止分布的系统能够进行准确的不平衡响应计算.
  • 将响应理论的适用性扩展到更广泛的物理系统.

主要方法:

  • 引入一种"有效"的物理过程来模拟扩散扰动力学.
  • 利用得分匹配算法进行计算.
  • 将该方法应用于精确静止分布未知的系统.

主要成果:

  • 有效动态包含一个额外的漂移项,取决于系统的即时得分.
  • 实现了对扩散张量的变化反应的准确计算.
  • 这种方法即使不知道确切的静止分布,也有效.

结论:

  • 开发的"有效"物理过程为分析具有扩散张力干扰的不平衡系统提供了强大的工具.
  • 分数匹配算法对于实现这些计算至关重要.
  • 这项工作扩大了理解复杂的随机系统及其反应的工具包.