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

Pipe Flowrate Measurement: Problem Solving01:28

Pipe Flowrate Measurement: Problem Solving

542
A spray tank system is engineered to uniformly distribute a pest-control liquid across plants by using a pressurized mechanism. The tank, pressurized to 150 kPa, holds the pesticide at a height of 0.80 meters. Liquid flows from the tank through a 1.9 meter pipe with a diameter of 0.015 meters, angled at 0.698 radians, ultimately reaching a 0.007 meter nozzle that sprays the pesticide. Accurate calculation of the system's flow rate is crucial to ensure uniform application, and this is...
542

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

Study on exploring the relationships between physiological indicators in near-death experiences by drawing on in-mold electronics and node displacement concepts in brain-computer interface signal transmission.

Scientific reports·2026
Same author

Advances in printable flexible and stretchable thin-film electrodes: materials, interfaces, technologies and bioelectronic applications.

Nanoscale·2026
Same author

TELO2-interacting protein 1 (TTI1), a novel Wnt/β-catenin target gene, decreases chemo-sensitivity in colorectal cancer by modulating DNA damage responses.

Molecular biomedicine·2026
Same author

Simultaneous measurement of three linear displacements and two angular drifts using a single detector.

Optics express·2026
Same author

Efficient and Stable Wide-Bandgap Perovskite Solar Cells Fabricated via Vacuum Flash.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

[Allogeneic Hematopoietic Stem Cell Transplantation for Children with Hyper-IgE Syndrome].

Zhongguo shi yan xue ye xue za zhi·2026

相关实验视频

Updated: Jul 2, 2025

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

9.0K

基于GNN的度预测与微流体混合器的可变输入流速.

Weiqing Ji, Xingzhuo Guo, Shouan Pan

    IEEE transactions on biomedical circuits and systems
    |February 23, 2024
    PubMed
    概括

    本研究引入了一个图形神经网络 (GNN) 方法,用于精确预测微流体混合器中的度,提高可变流速和尺寸的效率. 该GNN方法显著减少预测错误和训练数据需求.

    科学领域:

    • 生物技术是生物技术.
    • 微流体学 微流体学
    • 计算科学 计算科学

    背景情况:

    • 微流体生物芯片自动化生物化学协议,需要精确的液体样本准备.
    • 准确的度预测和生成对于微流体样本制备至关重要.
    • 传统的有限元素分析 (FEA) 是准确的,但耗时且缺乏可扩展性.

    研究的目的:

    • 开发一种高效且可扩展的方法,用于微流体混合器中的度预测.
    • 克服现有的机器学习模型的局限性,这些模型需要固定的输入流速和大小.
    • 为了提高预测准确度并降低微流体混合器设计的计算成本.

    主要方法:

    • 开发了一种基于图形神经网络 (GNN) 的新度预测方法.
    • 该GNN模型的设计是为了处理微流体混合器中的可变输入流量.
    • 整合了转移学习方法,以适应模型以减少数据的不同微流体混合器大小.

    主要成果:

    • 与最先进的方法相比,GNN方法实现了固定流速预测误差的平均88%降低.
    • 对于可变流量,拟议的方法平均减少了85%的预测误差.
    • 转移学习减少了84%的训练数据,对于新的混合器尺寸和可接受的错误.

    更多相关视频

    Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
    14:48

    Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

    Published on: April 17, 2021

    4.0K
    One-Step Approach to Fabricating Polydimethylsiloxane Microfluidic Channels of Different Geometric Sections by Sequential Wet Etching Processes
    08:31

    One-Step Approach to Fabricating Polydimethylsiloxane Microfluidic Channels of Different Geometric Sections by Sequential Wet Etching Processes

    Published on: September 13, 2018

    9.8K

    相关实验视频

    Last Updated: Jul 2, 2025

    Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
    10:12

    Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

    Published on: June 12, 2015

    9.0K
    Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
    14:48

    Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

    Published on: April 17, 2021

    4.0K
    One-Step Approach to Fabricating Polydimethylsiloxane Microfluidic Channels of Different Geometric Sections by Sequential Wet Etching Processes
    08:31

    One-Step Approach to Fabricating Polydimethylsiloxane Microfluidic Channels of Different Geometric Sections by Sequential Wet Etching Processes

    Published on: September 13, 2018

    9.8K

    结论:

    • 图形神经网络为微流体系统中的度预测提供了强大而高效的解决方案.
    • 拟议的方法显著提高了比传统的FEA和现有的ML模型的准确性和可扩展性.
    • 转移学习提高了模型的适应性,减少了开发时间和微流体设备优化数据需求.