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

The Fluid Mosaic Model01:34

The Fluid Mosaic Model

146.6K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
146.6K
Membrane Fluidity01:23

Membrane Fluidity

151.9K
Cell membranes are composed of phospholipids, proteins, and carbohydrates loosely attached to one another through chemical interactions. Molecules are generally able to move about in the plane of the membrane, giving the membrane its flexible nature called fluidity. Two other features of the membrane contribute to membrane fluidity: the chemical structure of the phospholipids and the presence of cholesterol in the membrane.
151.9K
MOS Capacitor01:25

MOS Capacitor

757
A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
757

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

An Artificial Dopamine-Ionic Cascade Synapse for Adaptive Neuromorphic Attention.

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

Ion-electron coupling in a MXene/silk nanofluidic hydrovoltaic device for enhanced electricity generation.

Materials horizons·2026
Same author

Bioinspired Leaky Integrate-and-Fire Neurons Enabled by Reconfigurable Hydrogel Memristors.

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

Ionic species programmable synaptic plasticity in multimodal nanofluidic devices.

National science review·2026
Same author

Artificial Nanochannel-Mediated Ionic Transmembrane Potential for Adaptive Neuromorphic Tactile Perception.

ACS nano·2026
Same author

Bioinspired nanofluidic iontronic device with integrated photoreceptor and photosynaptic functions.

Nature communications·2026
Same journal

Engineered Young Brown Adipose Tissue-Derived Exosomes Alleviate Radiation-Induced Lung Injury by Promoting G Protein-Coupled Receptor 183 Ubiquitination.

ACS nano·2026
Same journal

Pore Geometry-Driven Capture of Trace Aromatic Volatile Organic Compounds in Al-Based MOFs.

ACS nano·2026
Same journal

Dual-Bridged Porphyrin-Based Covalent Organic Framework with Integrated Specific Fluorescent Recognition and Cooperative Adsorption Capabilities.

ACS nano·2026
Same journal

Split-Gate Memtransistors for Energy-Efficient Adaptive Reinforcement Learning.

ACS nano·2026
Same journal

Interface Coordination Nucleation of Copper Nanoclusters on Covalent Organic Frameworks for Electrocatalytic Ammonia Synthesis.

ACS nano·2026
Same journal

High-Performance Near-Infrared Quantum Emission from Color Centers in hBN.

ACS nano·2026
查看所有相关文章

相关实验视频

Updated: Jun 20, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.8K

纳米流体离子记忆器

Guoheng Xu1, Miliang Zhang1, Tingting Mei1

  • 1Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Institute of Innovative Materials, Southern University of Science and Technology (SUSTech), Shenzhen 518055, P. R. China.

ACS nano
|July 18, 2024
PubMed
概括
此摘要是机器生成的。

基于人工离子的设备模仿生物通信,以有效处理信息. 本综述指导了用于神经形态计算应用的纳米流体离子记忆器的开发.

关键词:
生物模拟材料是生物模拟材料.生物电子学是生物学的.离子通道 离子通道离子运输 离子运输 离子运输离子记忆器 离子记忆器离子电子电子电路 离子电子电路纳米流体的纳米流体这些神经形态设备是神经形态设备.

更多相关视频

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
Merging Ion Concentration Polarization between Juxtaposed Ion Exchange Membranes to Block the Propagation of the Polarization Zone
08:06

Merging Ion Concentration Polarization between Juxtaposed Ion Exchange Membranes to Block the Propagation of the Polarization Zone

Published on: February 23, 2017

8.5K

相关实验视频

Last Updated: Jun 20, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.8K
A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
Merging Ion Concentration Polarization between Juxtaposed Ion Exchange Membranes to Block the Propagation of the Polarization Zone
08:06

Merging Ion Concentration Polarization between Juxtaposed Ion Exchange Membranes to Block the Propagation of the Polarization Zone

Published on: February 23, 2017

8.5K

科学领域:

  • 材料科学 材料科学 材料科学
  • 纳米技术 纳米技术
  • 生物仿真工程 生物仿真工程

背景情况:

  • 生物利用离子和小分子进行超低功率的信息通信.
  • 基于人工离子的设备正在成为由生物系统启发的高效信息处理范式.
  • 纳米流体离子记忆器,一种神经形态装置,正因其独特的电压依赖的离子导电状态而引起人们的注意.

研究的目的:

  • 系统地审查纳米流体离子记忆器的历史,机制和潜在应用.
  • 为这些新兴设备的开发和设计提供指导.
  • 讨论纳米流体离子记忆器领域的当前挑战和未来前景.

主要方法:

  • 对纳米流体离子记忆器的系统文献综述.
  • 基于封闭的流体系统和离子导电性的装置机制的分析.
  • 探索神经形态计算及其他领域的应用.

主要成果:

  • 纳米流体离子记忆器表现出对神经形态计算至关重要的记忆行为.
  • 该领域仍处于芽阶段,需要系统的发展策略.
  • 存在各种潜在的应用,以仿生原理为驱动.

结论:

  • 纳米流体离子记忆器是高效,低功耗信息处理的一个有前途的领域.
  • 进一步的研究和系统的设计对于克服当前挑战至关重要.
  • 未来的前景包括先进的神经形态计算和新的生物灵感应用.