Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

MOS Capacitor

MOS Capacitor

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...

You might also read

Related Articles

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

Sort by

Same author

Distorted octahedral supramolecular cages based on spirobiindane with enhanced emission.

Dalton transactions (Cambridge, England : 2003)·2026

Same author

Constructing Conformation-Restricted Terpyridine Complexes by Manipulating the Flexible Chain Length for High-Performance H<sub>2</sub>O<sub>2</sub> Photosynthesis.

Inorganic chemistry·2026

Same author

Unlocking superior Li<sup>+</sup> transport and anodic compatibility for solid polymer electrolytes by zwitterionic metal-organic filler-mediated Li<sup>+</sup> coordination engineering.

Chemical science·2026

Same author

Cage-on-Cage Evolution toward Rigid Metallo-Organic Giant for Enhanced Fluorescence.

Journal of the American Chemical Society·2026

Same author

Iridium-based metallo-organic triangles as efficient photosensitizers for rhodamine B photocatalytic oxidation degradation.

Dalton transactions (Cambridge, England : 2003)·2026

Same author

An Fe(II)-Based Hexagon-Fused Wheel Constructed via Post-Synthetic Transmetalation.

Inorganic chemistry·2026

Search research articles

Related Experiment Video

Updated: Sep 9, 2025

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

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

Published on: March 9, 2019

Composite Behavior of Nanopore Array Large Memristors.

Ian Reistroffer^1,2, Jaden Tolbert¹, Jeffrey Osterberg^1,3

¹Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634, USA.

|August 28, 2025

Summary

This summary is machine-generated.

Synthetic nanopore arrays exhibit memristive behaviors, mimicking biological ion channels for neuromorphic computing. These large memristors show tunable states driven by ion diffusion and asymmetric electrolytes, advancing brain-inspired electronics.

Keywords:

membranes memristors nanofluidics nanopores rectification

More Related Videos

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Related Experiment Videos

Last Updated: Sep 9, 2025

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

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

Published on: March 9, 2019

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Area of Science:

Materials Science
Nanotechnology
Computational Neuroscience

Background:

Synthetic nanopores show memristive and nonlinear voltage-current characteristics, similar to biological ion channels.
These ionic devices are key candidates for developing brain-inspired neuromorphic computing.

Purpose of the Study:

To investigate the composite memristive behavior of large nanopore-array memristors.
To explore the influence of membrane materials, pore sizes, electrolytes, and device configurations on memristive properties.

Main Methods:

Utilized anodic aluminum oxide (AAO) and track-etched polycarbonate (PCTE) membranes with varying pore sizes (5-20 nm).
Created nanopore arrays with 10^7-10^10 pores in parallel, employing asymmetric electrolyte concentrations.
Investigated both parallel and series composite memristor configurations.

Main Results:

Demonstrated tunable memristive and nonlinear behaviors in nanopore arrays under asymmetric electrolyte conditions.
Observed time-dependent electrolyte asymmetry due to ion diffusion, driving the system through distinct memristive states.
Characterized the behavior of series composite memristors with different arrangements.

Conclusions:

Nanopore-array memristors exhibit complex composite behaviors relevant to neuromorphic computing.
Findings contribute to understanding fluidic devices for brain-inspired computing and ion-selection filtration.
Results offer insights into modeling large neurons and giant synapses, with further research needed on parasitic components.