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MOS Capacitor01:25

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.
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Design Example: Resistive Touchscreen01:14

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Semiconductors01:22

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In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Published on: March 9, 2019

Grain-Size-Controlled Resistive Switching Memories Enabling Domain-Specific Functionality for Real-Time Video Signal

Dohyung Kim1,2, Hansol Park1,2, Phuoc Loc Truong3

  • 1Department of Organic and Nano Engineering, Hanyang University, Seoul, South Korea.

Small (Weinheim an Der Bergstrasse, Germany)
|May 26, 2026
PubMed
Summary
This summary is machine-generated.

We developed a novel perovskite thin-film memory array that mimics brain functions. This scalable platform uses grain-boundary engineering to enable diverse temporal processing for neuromorphic computing applications.

Keywords:
Sn‐halide perovskiteautonomous drivingcontrolled grain sizeneuromorphic computingresistive switching memory

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Area of Science:

  • Materials Science
  • Neuroscience
  • Computer Engineering

Background:

  • Conventional neuromorphic platforms face challenges in complexity and scalability due to heterogeneous device integration.
  • Developing integrated platforms for diverse neural dynamics is crucial for advancing artificial intelligence.

Purpose of the Study:

  • To present a novel resistive switching memory (RSM) platform based on Sn-halide perovskite thin films.
  • To demonstrate how controlled grain-boundary density can intrinsically generate diverse temporal processing functions.

Main Methods:

  • Fabrication of a grain-size-controlled RSM array using a photo-thermochemical process.
  • Characterization of domain-dependent volatile threshold-switching behavior and neural dynamics.
  • Engineering grain-boundary density to tune temporal processing characteristics.

Main Results:

  • Spatially graded grain-boundary densities were achieved, leading to domain-dependent neural dynamics.
  • Intrinsic generation of time-dependent processing primitives like nonlinear conductance modulation and integrate-and-fire responses.
  • Successful validation in a real-time spatiotemporal signal-processing system for autonomous driving.

Conclusions:

  • Grain-boundary engineering in perovskite RSM arrays offers a scalable and fabrication-friendly approach.
  • This method enables the embedding of diverse temporal functions within a single device.
  • The platform shows promise for efficient neuromorphic computing and autonomous systems.