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

You might also read

Related Articles

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

Sort by

Same author

Octahedral Dynamics and Local Symmetry in Hybrid Perovskite FAPbI<sub>3</sub> under Thermal Excitation.

ACS omega·2026

Same author

Probing the Surface Structure of Amine/Chloride-Passivated CdSe Nanocrystals Using Dynamic Nuclear Polarization-Enhanced <sup>15</sup>N, <sup>35</sup>Cl, <sup>77</sup>Se, and <sup>113</sup>Cd Solid-State NMR Spectroscopy.

Journal of the American Chemical Society·2026

Same author

Boron monoxide is a one-dimensional polymer.

Chemical communications (Cambridge, England)·2025

Same author

Data-driven prediction of HSQ polymer structure and silicon nanocrystal photoluminescence.

Dalton transactions (Cambridge, England : 2003)·2025

Same author

Structure-property relationships of Group IV (Si-Ge-Sn) semiconductor nanocrystals and nanosheets - current understanding and status.

Chemical communications (Cambridge, England)·2025

Same author

Correction: Choudhary et al. Encapsulation Engineering of Sulfur into Magnesium Oxide for High Energy Density Li-S Batteries. <i>Molecules</i> 2024, <i>29</i>, 5116.

Molecules (Basel, Switzerland)·2025

Search research articles

Related Experiment Video

Updated: Jan 15, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

Thin-Film Silicon Nanosheet-Based Neuromorphic Assemblies.

Rana Biswas^1,2,3, Moneim Elshobaki¹, Jeremy B Essner⁴

¹Microelectronics Research Center and Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States.

ACS Applied Materials & Interfaces

|October 7, 2025

Summary

Silicon nanosheet assemblies exhibit brain-like neuromorphic behavior. These materials show potential for developing energy-efficient, next-generation computing networks inspired by the human brain.

Keywords:

Zintl phase gold S-D electrodes neuromorphic device photolithography silicon nanosheet

More Related Videos

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

Published on: February 4, 2013

Related Experiment Videos

Last Updated: Jan 15, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

Published on: February 4, 2013

Area of Science:

Materials Science
Neuroscience
Computer Engineering

Background:

Neuromorphic computing aims to mimic the brain's structure and function for energy-efficient computation.
Silicon-based materials are extensively explored for electronic applications, but novel architectures are needed for advanced functionalities.
Understanding charge dynamics in nanoscale materials is crucial for developing new computing paradigms.

Purpose of the Study:

To demonstrate and characterize neuromorphic behavior in silicon nanosheet (Si-NS) assemblies.
To investigate the underlying mechanisms responsible for the observed neuroplastic characteristics.
To assess the potential of Si-NSs for future brain-inspired computing.

Main Methods:

Synthesis of Cl- and H-passivated Si-NSs via topotactic deintercalation of CaSi2.
Fabrication of Si-NS assemblies between gold source-drain electrodes on a silicon platform using photolithography and solution processing.
Characterization of electrical properties, including response to spiking voltage inputs and analysis of current outputs using power-law decay models.
Density Functional Theory (DFT) and electron-trapping simulations to elucidate charge dynamics.

Main Results:

Si-NS assemblies exhibited neuromorphic behavior, with spiking voltage inputs eliciting decaying spiking current outputs (power-law decay, ~t^-β, β ≈ 0.7-1.1).
A distinct 'learning' phase was observed at higher frequencies, analogous to synaptic potentiation.
DFT and simulations indicated that Si-dangling bonds at NS surfaces are likely responsible for charge trapping and release, driving neuroplasticity.

Conclusions:

Si-NS assemblies demonstrate promising neuromorphic characteristics, including plasticity and learning.
The observed behavior is attributed to charge dynamics at Si-NS surfaces, particularly Si-dangling bonds.
Si-NSs represent a viable material for developing energy-efficient, next-generation neuromorphic computing networks.