Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

MOSFET01:16

MOSFET

474
The Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) plays a pivotal role in modern electronics thanks to its versatility and efficiency in controlling electrical currents. This device, also known as IGFET, MISFET, and MOSFET, has three main terminals: the Source, Drain, and Gate. MOSFETs are classified into n-channel or p-channel types based on the doping characteristics of their substrate and the source or drain regions.
In an n-MOSFET, the structure includes n-type source and drain...
474
Semiconductors01:22

Semiconductors

707
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
707
Non-ohmic Devices00:51

Non-ohmic Devices

1.1K
In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...
1.1K
MOS Capacitor01:25

MOS Capacitor

789
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...
789
Electro-mechanical Systems01:19

Electro-mechanical Systems

962
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
962

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adaptable Covalent Organic Framework-Hydrogel Microneedles for Glucose-Responsive Isoliquiritigenin Delivery in Diabetic Wound Therapy.

Advanced healthcare materials·2026
Same author

DLP-bioprinted ultrabiomimetic trachea with spatiotemporal angiogenesis regulation for segmental airway reconstruction.

Science advances·2026
Same author

StLAX5 regulates stolon initiation to control the tuber number and productivity of potato.

The New phytologist·2026
Same author

Engineering halogen-doped carbon dots for enhanced bioinspired synapses toward neuromorphic computing and neural interfaces.

Materials today. Bio·2026
Same author

A thousand-state optoelectronic memory for high-precision spatiotemporal encoding.

Nature communications·2026
Same author

Thermally stable silk fibroin/carbon nanotube biomemristors for BCM learning rule simulation and neuromorphic computing applications.

International journal of biological macromolecules·2026
Same journal

Integrated Electrode-to-Device Design via Combination of Grain Boundary Reconstruction and Dynamic Gas Management Toward Stable 3 Ah Aqueous Zinc-Iodine Pouch Cells.

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

Diblock Copolymer Engineered Swim Bladder Membrane Enables Spatiotemporal Synchronized Defense and Pro-Healing in Challenging Soft Tissue Regeneration.

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

Solvation Chemistry Reimagined: LiPF6-Enabled Suppression of Gas Evolution for Ultra-Stable 200 Ah Anode-Free Lithium-Metal Batteries.

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

Entropy-Driven Conformational Disorder Enables Outstanding High-Temperature Energy Storage in Dielectric Polymers.

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

Breaking Thermal Conductivity-Electrical Resistivity Trade-Off in Liquid Metal-Based Thermal Interface Materials via Interface Engineering.

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

Screen-Printed Few-Layer Graphene Platforms for Monitoring Switchable Spin-Crossover Phenomena at Room-Temperature.

Advanced materials (Deerfield Beach, Fla.)·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 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

Memristor-Based Neuromorphic Chips.

Xuegang Duan1,2,3,4, Zelin Cao1,2,3,4, Kaikai Gao1,2,3,4

  • 1National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.

Advanced Materials (Deerfield Beach, Fla.)
|January 3, 2024
PubMed
Summary
This summary is machine-generated.

Memristor-based neuromorphic chips offer powerful, energy-efficient computing by mimicking the brain. This review details their design, working principles, and applications in advanced neural networks.

Keywords:
key performance metricsmemristorneural networkneuromorphic chipssynaptic‐neuron cores

More Related Videos

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

9.0K
Compartmentalization of Human Stem Cell-Derived Neurons within Pre-Assembled Plastic Microfluidic Chips
06:46

Compartmentalization of Human Stem Cell-Derived Neurons within Pre-Assembled Plastic Microfluidic Chips

Published on: May 3, 2019

66.1K

Related Experiment Videos

Last Updated: Jul 6, 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

9.0K
Compartmentalization of Human Stem Cell-Derived Neurons within Pre-Assembled Plastic Microfluidic Chips
06:46

Compartmentalization of Human Stem Cell-Derived Neurons within Pre-Assembled Plastic Microfluidic Chips

Published on: May 3, 2019

66.1K

Area of Science:

  • Neuromorphic Engineering
  • Materials Science
  • Computer Architecture

Background:

  • Exponential data growth necessitates advanced computing solutions.
  • Brain-like chips offer high processing power and energy efficiency.
  • Memristors are ideal for emulating neuronal functions in neuromorphic systems.

Purpose of the Study:

  • To review memristor-based neuromorphic chips.
  • To detail memristor working principles and characteristics.
  • To explore applications in neuromorphic computing and neural networks.

Main Methods:

  • Extensive review of memristor technology for neuromorphic applications.
  • Analysis of memristor arrays as core components.
  • Categorization of neuromorphic chip design: synapse-neuron cores, networks on chip (NoC), and neural network design.

Main Results:

  • Memristors effectively emulate synaptic and neuronal functions.
  • Memristor arrays are pivotal for neuromorphic chip architecture.
  • Key performance metrics for both chip and memristor devices are highlighted.

Conclusions:

  • Memristor-based neuromorphic chips represent a significant advancement in computing.
  • The review provides a comprehensive overview of memristor applications in neural networks.
  • Further research into memristor device metrics is crucial for optimizing neuromorphic chip performance.