Work

FeRh‐based surface acoustic wave‐driven neuromorphic computing for energy‐efficient AI applications

Year: 2025

Type: article

Source: Rare Metals

DOI: 10.1007/s12598-025-03539-w

Authors: Yu‐Qiong An, Hui‐Liang Wu, Jun‐Wei Zeng, Kun‐Di Chen, Zhen Wang, Qing‐Fang Liu, Guo‐Qiang Yu, Bao‐Shan Cui, Fang Nie

Institutions: Lanzhou University Second Hospital, Lanzhou University, National University of Defense Technology, University of California, Los Angeles, Chinese Academy of Sciences, Institute of Physics

Language: English

Topic: Magnetic properties of thin films

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G6051892228

OpenAlex ID: W4413880053

FWCI: 1.105

Cites: 47

Cited by: 3

Related to: 10