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

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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

375
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...
375
Modeling and Similitude01:12

Modeling and Similitude

688
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...
688
Fischer Projections02:18

Fischer Projections

16.9K
Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
16.9K
State Space Representation01:27

State Space Representation

636
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
636
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

663
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,...
663
Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

460
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
460

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

Trends for Proton Transport Activity and Stability in Turnbull's Blue Analogues: Theory and Experiments.

Chemistry of materials : a publication of the American Chemical Society·2026
Same author

Data-Driven Approaches to Understand the Economic and Environmental Impacts of Fluid Catalytic Cracking Catalyst Performance for Plastic Upcycling.

ACS sustainable chemistry & engineering·2026
Same author

Biomass Demineralization: A Critical Need for Future Biorefineries.

Chemical reviews·2026
Same author

Rational engineering to enhance C8-fatty acid biosynthesis in Picosynechococcus sp. PCC 7002.

Metabolic engineering·2026
Same author

Physics-constrained neural ordinary differential equation models to discover and predict microbial community dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Benders Decomposition Using Graph Modeling and Multi-Parametric Programming.

Industrial & engineering chemistry research·2025
Same journal

Tools for Understanding Molecular Orbital Interactions of Molecules on SurfacesDensity Functional Theory Calculations of H<sub>2</sub> Adsorbed on Cu(111) and Pd/Cu(111).

Industrial & engineering chemistry research·2026
Same journal

Green Composite of Instant Coffee and Poly(vinyl alcohol): An Excellent Transparent UV-Shielding Material with Superior Thermal-Oxidative Stability.

Industrial & engineering chemistry research·2026
Same journal

Assessing Biomass-Based Methanol Production via Electrified Gasification and Solar-Assisted CO<sub>2</sub> Utilization.

Industrial & engineering chemistry research·2026
Same journal

Fixed Bed Chemical Looping beyond Gas Switching: Application to Dynamic Industrial Waste Gas Conversion.

Industrial & engineering chemistry research·2026
Same journal

Correction to "Hydrodynamic Cavitation-Induced Breakage of Carbamazepine Dihydrate Crystals: Experimental Insights and Modeling".

Industrial & engineering chemistry research·2026
Same journal

A Kinetic Model-Driven Techno-Economic Analysis of Plastic Pyrolysis: Linking Process Dynamics to Economic Viability.

Industrial & engineering chemistry research·2026
查看所有相关文章

相关实验视频

Updated: Mar 3, 2026

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

13.5K

对离散空间的基于模拟的优化,使用投射到连续的潜空间.

Gabriel Hernández-Morales1,2, Brenda Cansino-Loeza1, Arturo Jiménez-Gutiérrez2

  • 1Department of Chemical and Biological Engineering, University of Wisconsin - Madison, 1415 Engineering Dr, Madison, Wisconsin 53706, United States.

Industrial & engineering chemistry research
|March 2, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用变量自动编码器的新方法,通过将离散决策空间转换为连续潜伏空间来优化复杂系统. 这种方法显著降低了系统设计模拟的计算成本.

更多相关视频

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.2K

相关实验视频

Last Updated: Mar 3, 2026

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

13.5K
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.2K

科学领域:

  • 计算化学计算化学
  • 工艺系统工程 工艺系统工程
  • 机器学习 机器学习

背景情况:

  • 具有离散决策空间的复杂系统的基于模拟的优化,由于组合式爆炸,提出了重大的计算挑战.
  • 现有的方法与大量可能的替代方案作斗争,使得详尽的模拟无法实现.
  • 为了设计复杂的化学过程,有效地导航这些离散空间至关重要.

研究的目的:

  • 开发一种新的计算方法,以优化具有离散决策空间的复杂系统.
  • 为了减少与基于模拟的优化相关的计算负担.
  • 为了使化学工艺工程复杂的设计空间的有效导航.

主要方法:

  • 使用变量自编码器 (VAE) 将离散决策空间转换为连续隐藏空间.
  • 将VAE与贝叶斯优化 (BO) 集成在一起,以有效地探索潜在空间.
  • 拟议方法应用于设计复杂的蒸系统.

主要成果:

  • 拟议的基于VAE的转换有效地将离散的决策空间投射到连续的潜在空间中.
  • 潜在空间的贝叶斯优化显著减少了所需的昂贵模拟的数量.
  • 在设计蒸系统的案例研究中证明了成功的应用,包括酸回收和提取分隔墙柱.

结论:

  • 变量自动编码器和贝叶斯优化的集成为基于模拟优化具有离散决策空间的复杂系统提供了强大而高效的解决方案.
  • 这种方法显著减轻了计算挑战,为改进化学过程设计铺平了道路.
  • 该方法在设计具有挑战性的分离系统时显示出实际实用性,突出了其在工艺工程中更广泛应用的潜力.