Intrinsic Disordered Network in Multiferroic YMnO <sub>3</sub> Single Crystals for In‐Materio Physical Reservoir Computing Through Tuneable Domain‐Wall Structure (Small 48/2025)
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.
Authors
- Alif Syafiq Kamarol Zaman (ORCID: https://orcid.org/0000-0001-7121-8136)
- Kyoka Furuta
- Yuki Usami (ORCID: https://orcid.org/0000-0002-8583-325X)
- Hirofumi Tanaka (ORCID: https://orcid.org/0000-0002-4378-5747)
- Y. Horibe
- Ahmet Karacali (ORCID: https://orcid.org/0009-0000-4695-2814)
- Mingkao Xu
- Yuki Umezaki
Institutions
- Kyushu Institute of Technology (JP)
Publication Details
- Journal
- Small
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/smll.71539
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00