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

Ashwagandha (Withania somnifera)-Associated Liver Injury: A Scoping Review of Clinical Characteristics and Safety Considerations.

Cureus·2026

Same author

Racial and ethnic representation in systemic sclerosis clinical trials: a 25-year analysis of ClinicalTrials.gov (1999-2025).

EULAR rheumatology open·2026

Same author

Surface-Functionalized LLZO-Incorporated Multilayer Composite Solid Electrolytes for Dendrite Suppression and Efficient Ionic Conduction in Lithium-Metal Batteries.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Urolithin A improves mitochondrial dysfunction induced by oxidative stress in human dermal papilla cells.

BMB reports·2026

Same author

AI-assisted vocal emotion analysis in forensic interview with children: an exploratory study.

Frontiers in psychology·2026

Same author

Herpes B virus and the neglected risk of zoonotic spillover.

One health (Amsterdam, Netherlands)·2026

Same journal

The BRCA1-A complex restricts replication fork reversal-dependent DNA repair in ATM deficient cells.

Nature communications·2026

Same journal

Signaling downstream of tumor-stroma interaction regulates mucinous colorectal adenocarcinoma apicobasal polarity.

Nature communications·2026

Same journal

Click-polymerized polyenamine membranes for efficient lithium extraction.

Nature communications·2026

Same journal

Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.

Nature communications·2026

Same journal

Proton shuttling at electrochemical interfaces under alkaline hydrogen evolution.

Nature communications·2026

Same journal

metilene<sup>3</sup>: identifying DMRs across multiple conditions with auto-classification.

Nature communications·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 6, 2026

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

Programmable memtransistor array with temporal dynamics modulation for efficient time-series data processing.

Dae-Won Kim¹, Yoonho Cho², Seokho Seo²

¹Graduate School of Semiconductor Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

Nature Communications

|July 4, 2026

Summary

This summary is machine-generated.

Researchers developed a programmable memtransistor for energy-efficient reservoir computing. This hardware enables multiscale time-series analysis, significantly reducing errors in complex predictions and offering a scalable computing platform.

More Related Videos

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Gradient Echo Quantum Memory in Warm Atomic Vapor

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

Related Experiment Videos

Last Updated: Jul 6, 2026

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

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Gradient Echo Quantum Memory in Warm Atomic Vapor

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

Area of Science:

Materials Science and Engineering
Neuromorphic Computing
Artificial Intelligence Hardware

Background:

Hardware-based reservoir computing offers energy-efficient time-series processing.
Limited temporal dynamics in current hardware restrict multiscale feature extraction and computational power.
Need for adaptable hardware for advanced signal processing tasks.

Purpose of the Study:

To introduce a programmable memtransistor for enhanced reservoir computing.
To enable hardware-level control of dynamic behavior for multiscale signal processing.
To develop a scalable and energy-efficient computing platform.

Main Methods:

Designed a memtransistor with a dual-functional gate stack for dynamic behavior control.
Integrated volatile charge storage and non-volatile charge trap layers for tunable relaxation times.
Configured memtransistors in parallel to create a wide reservoir computing system.

Main Results:

Achieved a 5-fold tunability in relaxation time constants.
Demonstrated a 40-fold error reduction in superimposed oscillator prediction compared to baseline.
Attained software-comparable accuracy in forecasting the chaotic Lorenz attractor.

Conclusions:

The programmable memtransistor enables hardware-level control of temporal dynamics.
A wide reservoir computing system can process signals across multiple timescales efficiently.
This compact, energy-efficient platform supports scalable wide reservoir computing implementation.