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

Fluid Mosaic Model01:19

Fluid Mosaic Model

11.6K
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
11.6K
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

146.6K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
146.6K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

42.2K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
42.2K
Dimensionless Groups in Fluid Mechanics01:15

Dimensionless Groups in Fluid Mechanics

322
Dimensionless groups in fluid mechanics provide simplified ratios that help analyze fluid behavior without relying on specific units. The Reynolds number (Re), which represents the ratio of inertial to viscous forces, distinguishes between laminar and turbulent flows, making it essential in the design of pipelines and aerodynamic surfaces. The Froude number (Fr), the ratio of inertial to gravitational forces, is particularly useful in predicting wave formation and hydraulic jumps in...
322
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

211
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
211
Typical Model Studies01:30

Typical Model Studies

354
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
354

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

Variational formulation of stochastic thermodynamics: Finite-dimensional systems.

Physical review. E·2026
Same author

CLPNets: Coupled Lie-Poisson neural networks for multi-part Hamiltonian systems with symmetries.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Lie-Poisson Neural Networks (LPNets): Data-based computing of Hamiltonian systems with symmetries.

Neural networks : the official journal of the International Neural Network Society·2024
Same author

Systems, variational principles and interconnections in non-equilibrium thermodynamics.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2023
Same author

Lie Group Cohomology and (Multi)Symplectic Integrators: New Geometric Tools for Lie Group Machine Learning Based on Souriau Geometric Statistical Mechanics.

Entropy (Basel, Switzerland)·2020
Same author

A Variational Formulation of Nonequilibrium Thermodynamics for Discrete Open Systems with Mass and Heat Transfer.

Entropy (Basel, Switzerland)·2020

相关实验视频

Updated: Jun 22, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

12.8K

混合量子-古典动力学的复杂流体模型.

François Gay-Balmaz1, Cesare Tronci2

  • 1Division of Mathematical Sciences, Nanyang Technological University, Singapore, Singapore.

Journal of nonlinear science
|July 5, 2024
PubMed
概括

这项研究引入了一种用于非adiabatic分子动态的新型复杂流体系统,解决现有模型中的计算挑战和数学不一致性. 新方法确保了哈密尔顿结构和能量/动量平衡,使得模拟更加稳健.

科学领域:

  • 量子动力学就是量子动力学.
  • 计算化学是一种计算化学.
  • 理论物理学的理论物理.

背景情况:

  • 非adiabatic分子动力学经常使用水力动力学描述与量子电子相结合的原子核.
  • 由于量子潜力和数学不一致性,现有的模型面临计算挑战,特别是在相空间配方中.
  • 忽视量子潜力的近似结果导致了经典的核运动,创造了复杂的流体系统.

研究的目的:

  • 呈现一种新的复杂流体系统,克服了以前在非adiabatic分子动力学模型的局限性.
  • 开发一个解决计算挑战和数学不一致性的模型.
  • 为了确保新系统具有哈密尔顿结构,并保持能量和动量.

主要方法:

  • 一个新的复杂流体系统是通过在相空间模型的作用原理水平上应用流体闭合来得出的.
  • 分析模型的结构性质和动态不变量.
  • 该模型是使用纯脱相动态图示的.

主要成果:

  • 新的复杂流体系统解决了先前方法中存在的计算和数学问题.
  • 该系统表现出哈密尔顿结构,确保能量和动量保持.
  • 分析揭示了关键的结构性质和动态不变量.
关键词:
复杂的流体复杂的流体.欧勒-波因卡雷减法 欧勒-波因卡雷减法汉密尔顿的结构结构.混合的量子-经典动力学.量子反反应是一种反反应.

更多相关视频

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.5K
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

4.5K

相关实验视频

Last Updated: Jun 22, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

12.8K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.5K
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

4.5K

结论:

  • 开发的复杂流体系统为非adiabatic分子动力学提供了更易处理和更一致的方法.
  • 这种方法为模拟量子-经典系统提供了一个强大的框架,包括溶解动力学.
  • 该研究以从这个新系统中获得的不变平面模型作为结论.