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

MOS Capacitor01:25

MOS Capacitor

1.3K
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...
1.3K
MOSFET: Enhancement Mode01:22

MOSFET: Enhancement Mode

636
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...
636

You might also read

Related Articles

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

Sort by
Same author

Weathering of scorodite by root exudates: Arsenic dissolution and solid-phase speciation.

Journal of hazardous materials·2026
Same author

Phase-Changing Vanadium Oxides for Electromagnetic Radiation Management.

Small science·2026
Same author

Van der Waals Template-Assisted Growth of Two-dimensional Sb<sub>2</sub>S<sub>3</sub>.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Stacking Mode-Driven Enhancement of Optoelectronic and Electrocatalytic Properties in Bilayer 2H MoS<sub>2</sub>.

ACS applied materials & interfaces·2025
Same author

Materials, mechanisms, and emerging applications of electrochromic systems.

Nanoscale·2025
Same author

Machine learning-assisted high-throughput prediction and experimental validation of high-responsivity extreme ultraviolet detectors.

Nature communications·2025

Related Experiment Video

Updated: Nov 29, 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

8.2K

Fully Light-Controlled Memory and Neuromorphic Computation in Layered Black Phosphorus.

Taimur Ahmed1, Muhammad Tahir2, Mei Xian Low1

  • 1Functional Materials and Microsystems Research Group and the Micro Nano Research Facility, RMIT University, Melbourne, VIC, 3001, Australia.

Advanced Materials (Deerfield Beach, Fla.)
|November 18, 2020
PubMed
Summary

Researchers developed a novel neuromorphic imaging element using 2D black phosphorus. This light-controlled device mimics brain-like vision, enabling efficient image processing and recognition with over 90% accuracy.

Keywords:
artificial neural networksblack phosphorusmachine learningneuromorphicsoptical memory

More Related Videos

Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials
10:18

Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials

Published on: January 5, 2019

12.2K
In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
09:49

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

Published on: May 13, 2020

4.3K

Related Experiment Videos

Last Updated: Nov 29, 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

8.2K
Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials
10:18

Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials

Published on: January 5, 2019

12.2K
In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
09:49

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

Published on: May 13, 2020

4.3K

Area of Science:

  • Materials Science
  • Artificial Intelligence
  • Neuroscience

Background:

  • Human vision relies on memory, a key cognitive function.
  • Bioinspired neuromorphic vision components are crucial for advanced AI.
  • Existing systems lack integrated memory and processing, hindering brain-like efficiency.

Purpose of the Study:

  • To create a fully light-controlled neuromorphic imaging element.
  • To develop a device with in-built memory and signal processing capabilities.
  • To overcome limitations of electric signal-driven systems.

Main Methods:

  • Utilized a 2D semiconductor (black phosphorus) in a phototransistor structure.
  • Exploited oxidation-related defects for unique photoresponse.
  • Demonstrated all-optically driven neuromorphic computation using machine learning.

Main Results:

  • Achieved visual memory, wavelength-selective multibit programming, and erasing functions.
  • Enabled in-pixel image pre-processing and recognition.
  • Reached over 90% accuracy in classifying numbers and recognizing images.

Conclusions:

  • Presented a standalone neuromorphic imaging element based on light modulation.
  • The device exhibits inherent capabilities for neuromorphic image pre-processing.
  • Offers a promising path for neurorobotics and human-machine interaction technologies.