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Intrinsic Disordered Network in Multiferroic YMnO 3 Single Crystals for In‐Materio Physical Reservoir Computing Through Tuneable Domain‐Wall Structure (Small 48/2025)

Year: 2025

Type: article

Abstract: Physical Reservoir Computing Multiferroic YMnO3 features cloverleaf-like domain structures forming an intrinsically disordered yet functional network within the single crystal. The resulting nonlinearity enables complex electrical dynamics suitable for in-materio physical reservoir computing. This self-organized network realizes low-power operation while preserving high computational accuracy, highlighting YMnO3 as a promising material for next-generation neuromorphic and AI computing. More in article number 2506397, Hirofumi Tanaka, Yoichi Horibe, and co-workers.

Source: Small

DOI: 10.1002/smll.71539

Authors: Muzhen Xu, Kyoka Furuta, Ahmet Karacali, Yuki Umezaki, Alif Syafiq Kamarol Zaman, Yuki Usami, Hirofumi Tanaka, Yoichi Horibe

Institution: Kyushu Institute of Technology

Language: English

Topic: Neural Networks and Reservoir Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4416955593

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