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

Electrolysis03:00

Electrolysis

26.2K
In a galvanic cell, the electrical work is done by a redox system on its surroundings as electrons produced by the spontaneous redox reactions are transferred through an external circuit. Alternatively, an external circuit does work on a redox system by imposing a voltage sufficient to drive an otherwise nonspontaneous reaction in a process known as electrolysis. For instance, recharging a battery involves the use of an external power source to drive the spontaneous (discharge) cell reaction in...
26.2K

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

Unveiling the Cellular and Molecular Insights into Ulcerative Colitis Pathogenesis through Integrative Multi-omics and Functional Experiments.

Combinatorial chemistry & high throughput screening·2026
Same author

High-Throughput Monitoring of Electrochemical Reactions on Single Nanoparticles via Fourier Transform Wide-Field Electrochemical Hyperspectral Imaging.

ACS nano·2026
Same author

Shape Memory Effect Controlled by Localized Flow of Liquid-Like Atoms in Metallic Glass.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Osthole Improves Rat Arthritis Through the miR-34a/Bcl-2 Axis.

Journal of visualized experiments : JoVE·2026
Same author

Retrospective comparison of three-dimensional computed tomography bronchography and angiography-assisted indocyanine green reverse staining versus modified inflation-deflation in robotic-assisted thoracoscopic segmentectomy.

Journal of thoracic disease·2026
Same author

Interfacial dipolar interactions drive giant second-harmonic generation in 2D organic-inorganic heterostructures.

Nature communications·2026

相关实验视频

Updated: Jun 12, 2025

Author Spotlight: Accelerating Discovery in Microporous Material Chemistry
07:20

Author Spotlight: Accelerating Discovery in Microporous Material Chemistry

Published on: October 6, 2023

3.5K

显式进化框架与多任务功能融合,用于优化电解过程中的操作参数.

Lizhong Yao, Xin Zong, Ling Wang

    IEEE transactions on cybernetics
    |September 17, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了进化多任务功能融合 (EMFF) 框架,以优化电解电池 (AEC). 通过有效地将不同优化任务之间的知识转移,EMFF提高了能源的减少.

    更多相关视频

    Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold
    05:28

    Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold

    Published on: February 10, 2023

    1.6K
    Determination of Thermodynamic Properties of Alkaline Earth-liquid Metal Alloys Using the Electromotive Force Technique
    12:02

    Determination of Thermodynamic Properties of Alkaline Earth-liquid Metal Alloys Using the Electromotive Force Technique

    Published on: November 3, 2017

    13.1K

    相关实验视频

    Last Updated: Jun 12, 2025

    Author Spotlight: Accelerating Discovery in Microporous Material Chemistry
    07:20

    Author Spotlight: Accelerating Discovery in Microporous Material Chemistry

    Published on: October 6, 2023

    3.5K
    Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold
    05:28

    Versatile Technique to Produce a Hierarchical Design in Nanoporous Gold

    Published on: February 10, 2023

    1.6K
    Determination of Thermodynamic Properties of Alkaline Earth-liquid Metal Alloys Using the Electromotive Force Technique
    12:02

    Determination of Thermodynamic Properties of Alkaline Earth-liquid Metal Alloys Using the Electromotive Force Technique

    Published on: November 3, 2017

    13.1K

    科学领域:

    • 材料科学 材料科学 材料科学
    • 化学工程是化学工程的重要组成部分.
    • 计算智能是一种计算智能.

    背景情况:

    • 电解电池 (AEC) 需要优化操作参数以减少能源消耗.
    • AEC的动态异质性对传统的优化方法提出了挑战.
    • 现有的显式进化多任务处理 (EMT) 算法缺乏AEC的理论依据,并且经常忽视任务间的相关性.

    研究的目的:

    • 为优化 AEC 操作参数提出一个具有多任务功能融合 (EMFF) 的明确进化框架.
    • 通过考虑跨任务特征信息相关性来解决现有的EMT算法的局限性.
    • 增强AEC多任务优化的知识转移和协同效应.

    主要方法:

    • 开发明确的进化框架与多任务功能融合 (EMFF).
    • 引入一个多任务功能融合机制,以实现有效的知识转移.
    • 实施转移个人导出 (TID) 战略,以快速发展关键知识.

    主要成果:

    • 欧洲风险基金在基准测试中表现优异.
    • 该框架在现实世界AEC参数优化方面显示出了卓越的结果.
    • 通过拟议的机制,实现了有效的知识转移和协同效应.

    结论:

    • 拟议的EMFF框架有效优化了AEC的操作参数,从而降低了能源消耗.
    • 欧洲货币基金组织通过结合任务间特征相关性来克服现有的EMT算法的局限性.
    • 该框架为在工业过程中协作优化提供了一个有前途的方法.