III-nitride memristors: materials, devices, and applications

Abstract Memristors, with their compactness, nonvolatile storage, and dynamic resistance modulation, are poised to revolutionize next-generation memory and neuromorphic computing paradigms. III-nitride materials, such as boron nitride (BN), gallium nitride (GaN), and aluminum nitride (AlN), exhibit exceptional properties for advancing memristive technologies, including wide bandgaps (3.4–6.2 eV), high electron mobility (10 2 –10 3 cm 2 (V·s) −1 ), high thermal conductivity (up to 400 W (m·K) −1 ), and robust resistance to harsh environments (e.g. extreme temperatures, radiation). Coupled with inherent complementary metal-oxide-semiconductor (CMOS) compatibility, these attributes position nitride-based memristors as a transformative platform for scalable, energy-efficient, and reliable electronics. In this review, we systematically examine recent advancements in III-nitride memristors, with a focus on materials engineering, device structures, and emerging applications. We begin by outlining the unique advantages of III-nitride materials for memristor design, followed by a critical analysis of progress in BN, GaN, AlN, and AlScN-based devices. We then explore their hardware-level implementations, demonstrating their role in next-generation chip architectures. Finally, we discuss the challenges and future directions to advance nitride-based memristive technologies. Notably, III-nitride memristors unlock unprecedented opportunities for high-performance electronics in extreme environments while bridging the gap between bio-inspired computing paradigms and hardware scalability, enabling adaptive, high-speed, and energy-efficient intelligent systems.

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Publication Details

Journal
Materials Futures
Published
2025-06-18
DOI
https://doi.org/10.1088/2752-5724/ade5be
Citations
7
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
5.11

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article

III-nitride memristors: materials, devices, and applications

Qilin Hua, Haotian Li, Yang Yang
7 citations
Materials Futures
Advanced Memory and Neural Computing
5.11
article

III-nitride memristors: materials, devices, and applications

Qilin Hua, Haotian Li, Yang Yang
article en
7 citations

Abstract

Abstract Memristors, with their compactness, nonvolatile storage, and dynamic resistance modulation, are poised to revolutionize next-generation memory and neuromorphic computing paradigms. III-nitride materials, such as boron nitride (BN), gallium nitride (GaN), and aluminum nitride (AlN), exhibit exceptional properties for advancing memristive technologies, including wide bandgaps (3.4–6.2 eV), high electron mobility (10 2 –10 3 cm 2 (V·s) −1 ), high thermal conductivity (up to 400 W (m·K) −1 ), and robust resistance to harsh environments (e.g. extreme temperatures, radiation). Coupled with inherent complementary metal-oxide-semiconductor (CMOS) compatibility, these attributes position nitride-based memristors as a transformative platform for scalable, energy-efficient, and reliable electronics. In this review, we systematically examine recent advancements in III-nitride memristors, with a focus on materials engineering, device structures, and emerging applications. We begin by outlining the unique advantages of III-nitride materials for memristor design, followed by a critical analysis of progress in BN, GaN, AlN, and AlScN-based devices. We then explore their hardware-level implementations, demonstrating their role in next-generation chip architectures. Finally, we discuss the challenges and future directions to advance nitride-based memristive technologies. Notably, III-nitride memristors unlock unprecedented opportunities for high-performance electronics in extreme environments while bridging the gap between bio-inspired computing paradigms and hardware scalability, enabling adaptive, high-speed, and energy-efficient intelligent systems.

Materials FuturesVol. 4(3)
Beijing Institute of Technology (CN)
National Natural Science Foundation of China, Beijing Institute of Technology Research Fund Program for Young Scholars, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 4%
Advanced Memory and Neural Computing
5.11
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III-nitride memristors: materials, devices, and applications — Qilin Hua, Haotian Li, et al. · Materials Futures (2025) | TGRS Research Map | TGRS