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

You might also read

Related Articles

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

Sort by
Same author

An artificial neuromorphic interface for auditory restoration.

Nature materials·2026
Same author

Correction to "Tuning the Electronic And Transport Properties of CaMoO<sub>4</sub> Nanofibers with High-Spin Ni for Efficient and Stable Supercapacitors".

ACS applied materials & interfaces·2026
Same author

ZnIn<sub>2</sub>S<sub>4</sub>/metal sulfide heterostructures for high-performance ammonia sensing at room temperature.

Mikrochimica acta·2026
Same author

Treg/Th17 imbalance and its association with frailty in elderly patients with community-acquired pneumonia.

Frontiers in medicine·2026
Same author

Rituximab is associated with accelerated dialysis independence in anti-glomerular basement membrane disease: a retrospective cohort analysis of renal survival.

Frontiers in immunology·2026
Same author

Precise Probing of Interfaces at the Single-Molecule Scale.

Nanomaterials (Basel, Switzerland)·2026
Same journal

Reconfigurable 2D Floating-Gate Field-Effect Transistors with Graphene-Induced Interfacial Polarization for Unified Memory-Logic Integration.

ACS nano·2026
Same journal

Bioinstructive Hybrid Scaffold Integrating Phosphoinositide 3-Kinase-Akt and Complementary Survival Pathways for Kidney Regeneration.

ACS nano·2026
Same journal

Robust Quantum Cutting via Halide-Bearing Ligand Passivation and Gradient Halide Reconstruction for Ultrabroadband Ultraviolet-to-Near-Infrared Photodetection and Imaging.

ACS nano·2026
Same journal

Engineering Interferon-γ-Enhanced Chimeric Antigen Receptor Macrophages via Lipid-Assisted Polymeric Nanoparticles for Cancer Immunotherapy.

ACS nano·2026
Same journal

Self-Assembly of Dual-Metal-Substituted Polyoxometalates into Two-Dimensional Superstructures for Highly Selective Electrocatalytic Imine Synthesis.

ACS nano·2026
Same journal

Dual-Function Halide Exchange Strategy for Simultaneous Sn<sup>4+</sup> Elimination and Stability Enhancement in Pb-Sn Mixed Perovskite Solar Cells.

ACS nano·2026
See all related articles

Related Experiment Video

Updated: Jan 11, 2026

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

8.3K

A Robust Biomimetic van der Waals Heterostructure Visual Neuromorphic Device for Multiscale In-Sensor Reservoir

Yinxing Zhang1,2, Gongjie Liu3, Yuzhe Zhang4

  • 1Institute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin 300350, China.

ACS Nano
|November 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel graphdiyne/MoS2 visual neuromorphic device. This all-two-dimensional material heterostructure enhances visual processing and achieves high accuracy in facial and motion recognition tasks.

Keywords:
in-sensor reservoir computing systemneuromorphicoptoelectronictwo-dimensionalvan der Waals heterostructure

More Related Videos

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

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

Published on: March 8, 2024

5.7K
Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts
08:33

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Published on: July 18, 2025

757

Related Experiment Videos

Last Updated: Jan 11, 2026

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

8.3K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

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

Published on: March 8, 2024

5.7K
Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts
08:33

Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts

Published on: July 18, 2025

757

Area of Science:

  • Materials Science
  • Neuroscience
  • Computer Science

Background:

  • Visual neuromorphic devices are essential for processing complex visual data.
  • All-two-dimensional material heterostructures offer solutions to lattice mismatch and interfacial defects in conventional devices.

Purpose of the Study:

  • To develop a robust visual neuromorphic device using a graphdiyne/MoS2 heterostructure.
  • To explore its capabilities in in-sensor reservoir computing for facial and motion recognition.

Main Methods:

  • Fabrication of an all-two-dimensional material heterostructure device based on graphdiyne/MoS2.
  • Characterization of the device's memory window, on/off ratio, endurance, and stability.
  • Development of a multiscale in-sensor reservoir computing system for data analysis.

Main Results:

  • Achieved a nearly 10-fold enhancement in memory window due to graphdiyne's unique properties.
  • Demonstrated an ultrahigh on/off ratio (5 × 10^7), 70 cycles endurance, and 4 weeks air stability.
  • Attained >90% facial recognition accuracy under noise and 95.46% motion trajectory recognition accuracy.

Conclusions:

  • The graphdiyne/MoS2 heterostructure shows significant promise for advanced neuromorphic vision systems.
  • The developed in-sensor reservoir computing system enables efficient real-time visual data processing.
  • This work presents a viable device codesign strategy for next-generation neuromorphic applications.