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

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
Lattice Energies of Ionic Crystals01:27

Lattice Energies of Ionic Crystals

Lattice energy represents the energy released when gaseous cations and anions combine to form an ionic solid, reflecting the strength of electrostatic interactions within the crystal. This process is fundamentally governed by Coulombic attraction between oppositely charged ions, where the potential energy varies inversely with the interionic distance and directly with the product of ionic charges. As ions approach one another, the electrostatic energy becomes increasingly negative, indicating a...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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...

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

Equilibrium-distribution-function-based mesoscopic finite-difference methods for partial differential equations: Modeling and analysis.

Physical review. E·2026
Same author

Identification and regulatory mechanism analysis of macrophage-related key genes in diabetic nephropathy.

Diabetology & metabolic syndrome·2026
Same author

Molecular Insights into the Regulatory Mechanisms Mediated by Hypoxia-Conditioned Skeletal Muscle Exosomal miRNAs.

Biomarker insights·2026
Same author

Phase-field-based lattice Boltzmann method for the transport of insoluble surfactant in two-phase flows.

Physical review. E·2025
Same author

Endoscopic retrograde cholangiopancreatography combined with peroral choledochoscope for the treatment of complete bile duct rupture.

Endoscopy·2025
Same author

Phase-field-based lattice Boltzmann method for containerless freezing.

Physical review. E·2024

相关实验视频

Updated: Jul 18, 2026

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

宏观的有限差异方案基于介面镜调整的格子-博尔兹曼方法.

Xi Liu1, Ying Chen1, Zhenhua Chai1,2,3

  • 1School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China.

Physical review. E
|March 16, 2024
PubMed
概括

一个新的宏观有限差异方案,由调整格子博尔兹曼 (RLB) 方法衍生,为纳维埃-斯托克斯方程 (NSEs) 和对流-扩散方程 (CDE) 提供有效和准确的解决方案. 这种方法通过使用宏观变量来简化计算,实现二次空间精度.

更多相关视频

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
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: Jul 18, 2026

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
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
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

科学领域:

  • 计算流体动力学的流体动力学.
  • 数字分析 数字分析
  • 中视镜和宏观模型建模

背景情况:

  • 调节格子博尔兹曼 (RLB) 方法是一种用于解决流体动力学和运输方程的美索斯科普方法.
  • 常见的RLB方法依赖于分布函数的演变,这些函数可以是计算密集型和需要内存的.
  • 为纳维埃-斯托克斯方程 (NSEs) 和对流-扩散方程 (CDE) 开发高效准确的数值方案仍然是一个关键的挑战.

研究的目的:

  • 开发一个宏观的有限差异方案,该方案是从 mesoscopic RLB 方法衍生出来的.
  • 使用这个新方案来解决纳维埃-斯托克斯方程 (NSEs) 和对流-扩散方程 (CDE).
  • 与现有方法相比,证明该方案的效率,准确性和简单性.

主要方法:

  • 一个宏观的有限差异方案是从介面镜调节格子博尔兹曼 (RLB) 方法开发出来的.
  • 该方案使用水力动力学变量 (密度,动量,应变率张量) 进行NSE和宏观变量 (度,流量) 进行CDE.
  • 通过理论分析,在空间中确定了二次准确度.

主要成果:

  • 开发的宏观图表表现出较低的内存要求和高的计算效率.
  • 对基准问题的数值模拟显示出与分析解决方案的良好一致性.
  • 该方案在空间上实现了二次精度,与中观 RLB 方法相一致.

结论:

  • 新的宏观有限差异方案为RLB方法及其同等宏观方案提供了更简单,更有效的替代方案.
  • 该方案是一个双层系统,使用宏观变量,提高计算性能.
  • 这些发现证实了该计划在解决NSE和CDE方面的准确性和效率.