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Related Concept Videos

Non-ohmic Devices00:51

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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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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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Updated: Jan 6, 2026

A Fabrication and Measurement Method for a Flexible Ferroelectric Element Based on Van Der Waals Heteroepitaxy
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Recent advances in ferroelectric materials, devices, and in-memory computing applications.

Hwiho Hwang1, Sangwook Youn1, Hyungjin Kim2

  • 1Division of Materials Science and Engineering and Department of Semiconductor Engineering, Hanyang University, Seoul, 04763, Korea.

Nano Convergence
|November 6, 2025
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Summary
This summary is machine-generated.

Modern fluorite ferroelectrics, like hafnia-based materials, offer scalable, low-power memory solutions. These advancements enable new applications in computing beyond traditional storage.

Keywords:
Ferroelectric thin filmsHardware securityIn-memory computingNeuromorphic computingNon-volatile memory devices

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Area of Science:

  • Materials Science
  • Solid State Physics
  • Electrical Engineering

Background:

  • Ferroelectric memories evolved from perovskites to fluorite structures for improved performance.
  • Nanoscale HfO2-based ferroelectrics enable CMOS compatibility, scalability, and low power consumption.

Purpose of the Study:

  • Review the historical development of ferroelectric memories.
  • Examine recent advances in device architectures and in-memory computing.
  • Discuss challenges and future research directions.

Main Methods:

  • Materials-device co-design perspective.
  • Analysis of ferroelectric memory architectures (FeRAM, FTJs, FeFETs, FeCAPs).
  • Exploration of in-memory computing applications.

Main Results:

  • Hafnia-based ferroelectrics integrate with semiconductor infrastructure.
  • Devices show promise for neuromorphic systems, hardware security, and associative memory.
  • Key challenges include endurance, retention, variability, and scaling.

Conclusions:

  • Future research requires integrating material innovation, interface engineering, and circuit optimization.
  • Realizing the full potential of ferroelectric memories for next-generation computing.
  • Addressing current limitations is crucial for widespread adoption.