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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
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...
53
Modeling and Similitude01:12

Modeling and Similitude

266
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
266
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.2K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

142
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
142
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

378
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
378

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相关实验视频

Updated: Jul 1, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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通过多目标优化与差分模拟进行结构粗粒化.

Zhenghao Wu1, Tianhang Zhou2

  • 1Department of Chemistry, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, P. R. China.

Journal of chemical theory and computation
|March 14, 2024
PubMed
概括

我们开发了可微分粗粒度 (DiffCG) 来创建精确的聚合物模型. 这种方法优化了跨温度可转移模拟的有效潜力,提高了聚合物建模效率.

科学领域:

  • 分子模拟分子模拟
  • 软物质物理学 软物质物理学
  • 计算化学的计算化学

背景情况:

  • 基于结构的粗粒度 (CG) 对于模拟大型软物质系统至关重要.
  • 当前的方法通过将全原子 (AA) 模型的静态相关函数匹配,优化CG相互作用.
  • 开发可跨温度转移的CG模型仍然是一个挑战.

研究的目的:

  • 引入一种多功能差分粗粒法 (DiffCG).
  • 为聚合物融件构建坚固且可转移的CG模型.
  • 证明能够在不同温度下重现结构性和热力学性质的能力.

主要方法:

  • 将多目标优化与可微分模拟相结合.
  • 代优化有效潜力以匹配多个目标属性.
  • 通过优化绑定和非绑定潜能来开发聚乙烯 (PS) 化的CG模型.

主要成果:

  • DiffCG方法成功创建了一个CG-PS模型,该模型重现了AA结构特征和热力学压力.
  • 优化的CG模型证明了跨温度 (400-600K) 的可转移性.
  • 该模型准确地预测辐射分布函数和密度在各种温度下,包括看不见的温度.

更多相关视频

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

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相关实验视频

Last Updated: Jul 1, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

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结论:

  • DiffCG为开发复杂软物质准确和可转移的CG模型提供了一个有前途的途径.
  • 多目标优化与微分模拟相结合,增强了CG模型开发.
  • 开发的温度可转移的CG-PS模型显著提升了聚合物模拟能力.