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Halide Perovskites for Neuromorphic Sensing and Computing.

Seung Ju Kim1,2, Hyeon-Ji Lee1, Gi-Baek Nam1

  • 1Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea.

ACS Applied Materials & Interfaces
|October 14, 2025
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Halide perovskites (HPs) offer a promising alternative to traditional semiconductors for neuromorphic sensing and computing. Their unique properties enable the development of advanced devices mimicking biological functions for next-generation technology.

Keywords:
electronicshalide perovskitememristorsneuromorphicsensors

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Area of Science:

  • Materials Science
  • Neuroscience
  • Electronics Engineering

Background:

  • Conventional complementary metal-oxide-semiconductor (CMOS) technologies face limitations in scaling, speed, and power efficiency.
  • Neuromorphic sensing and computing, inspired by biological nervous systems, present a promising alternative.
  • Halide perovskites (HPs) are emerging as a key material platform for these advanced applications.

Purpose of the Study:

  • To provide a comprehensive overview of recent advances in halide perovskite-based neuromorphic sensing and computing.
  • To highlight the unique structural and electronic properties of HPs relevant to neuromorphic applications.
  • To discuss the current challenges and future perspectives in HP-based neuromorphic systems.

Main Methods:

  • Review of recent scientific literature on halide perovskites for neuromorphic applications.
  • Analysis of the structural, electronic, and ion migration properties of HPs.
  • Examination of HP-based neuromorphic sensors and memristive devices.

Main Results:

  • HPs possess low activation energies, tunable bandgaps, facile ion migration, and mechanical flexibility, making them suitable for neuromorphic devices.
  • HP-based devices can mimic human sensory functions (vision, olfaction, gustation, tactile perception).
  • HPs enable the development of energy-efficient memristive devices for in-memory computing.

Conclusions:

  • Halide perovskites hold transformative potential for next-generation neuromorphic sensing and computing systems.
  • Further research into HP properties and device integration is crucial for realizing their full potential.
  • HP-based neuromorphic systems offer a path towards more efficient and biologically inspired electronic devices.