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

Double Resonance Techniques: Overview

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...

MOSFET: Enhancement Mode

MOSFET: Enhancement Mode

Enhancement-mode MOSFETs are pivotal components in electronics, distinguished by their capacity to act as highly efficient switches. They are part of the larger family of metal-oxide Semiconductor Field-Effect Transistors (MOSFETs). They are available in two types: p-channel and n-channel, each tailored to specific polarity operations.
In their basic form, enhancement-mode MOSFETs are typically non-conductive when the gate-source voltage (Vgs) is zero. This default 'off' state means no current...

You might also read

Related Articles

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

Sort by

Same author

Hierarchical self-assembly of atomically precise Au<sub>6</sub> nanoclusters into fibrillar superstructures with collective optical properties.

Nature communications·2026

Same author

Global mining has undermined forest conservation within and beyond protected areas.

Nature communications·2026

Same author

Probing picometre-scale interlayer deformations via hyperbolic polaritons.

Nature·2026

Same author

Observation of tunable chiral spin textures with nonlinear optics.

Nature communications·2026

Same author

FSCL-BC: Federated supervised contrastive learning for breast cancer diagnosis with high sensitivity.

Computer methods and programs in biomedicine·2026

Same author

Evolving mortality trends in hypertension-associated ischemic heart disease among U.S. adults over two decades: a CDC wonder analysis (2000-2023).

Journal of human hypertension·2026

Search research articles

Related Experiment Video

Updated: Jun 22, 2026

Patterned Photostimulation with Digital Micromirror Devices to Investigate Dendritic Integration Across Branch Points

Patterned Photostimulation with Digital Micromirror Devices to Investigate Dendritic Integration Across Branch Points

Published on: March 2, 2011

Enhanced 2D MoTe₂ Analogue Switching through Laser Processing and ALD-Passivation for Dual-Function Neuromorphic

Mohamed Radwan¹, Seyed Hossein Hosseini-Shokouh¹, Abde Mayeen Shafi¹

¹Department of Electronics and Nanoengineering Aalto University, Tietotie 3 FI-02150, Finland.

|December 15, 2025

Summary

Researchers enhanced two-dimensional molybdenum ditelluride (MoTe2) devices for neuro-based computing. Laser treatment and Al2O3 deposition significantly improved memristor and memtransistor performance, boosting pattern recognition accuracy.

Keywords:

2D Materials Analogue Switching Atomic Layer Deposition Laser Patterning Memristor Memtransistor Neuromorphic

More Related Videos

Direct Imaging of Laser-driven Ultrafast Molecular Rotation

Direct Imaging of Laser-driven Ultrafast Molecular Rotation

Published on: February 4, 2017

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Published on: September 1, 2022

Related Experiment Videos

Last Updated: Jun 22, 2026

Patterned Photostimulation with Digital Micromirror Devices to Investigate Dendritic Integration Across Branch Points

Patterned Photostimulation with Digital Micromirror Devices to Investigate Dendritic Integration Across Branch Points

Published on: March 2, 2011

Direct Imaging of Laser-driven Ultrafast Molecular Rotation

Direct Imaging of Laser-driven Ultrafast Molecular Rotation

Published on: February 4, 2017

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Published on: September 1, 2022

Area of Science:

Materials Science
Nanotechnology
Neuro-engineering

Background:

Memristors and memtransistors are key for neuro-based computing.
Two-dimensional molybdenum ditelluride (MoTe2) shows promise due to its low phase-change energy and tunable electrical properties.
Pristine MoTe2 devices have limited memory windows, hindering neuromorphic applications.

Purpose of the Study:

To enhance the analog switching characteristics of lateral MoTe2 devices.
To improve the performance of MoTe2-based memristors and memtransistors for neuromorphic computing.
To investigate the synergistic effects of sequential laser treatment and Al2O3 atomic layer deposition.

Main Methods:

Sequential application of laser treatment and atomic layer deposition (ALD) of Al2O3 on lateral MoTe2 devices.
Characterization of device performance as both memristors and memtransistors.
Simulation of artificial neural networks to evaluate pattern recognition accuracy.

Main Results:

A 70-fold improvement in dynamic range for memristor operation.
A 20-fold enhancement in dynamic range for memtransistor operation.
A 10-fold increase in pattern recognition accuracy in artificial neural network simulations.

Conclusions:

The combined laser treatment and Al2O3 ALD effectively enhances MoTe2 device performance for neuromorphic applications.
The dual memristor/memtransistor functionality enables emulation of synaptic plasticity (homosynaptic and heterosynaptic).
This approach significantly advances the potential of 2D materials in next-generation computing architectures.