Work

Ultralow Energy Consumption and Fast Neuromorphic Computing Based on La0.1Bi0.9FeO3 Ferroelectric Tunnel Junctions

Year: 2024

Type: article

Source: Nano Letters

DOI: 10.1021/acs.nanolett.4c01924

Authors: Pan Gao, Mengyuan Duan, Guanghong Yang, Weifeng Zhang, Caihong Jia

Institutions: Henan University, Henan Academy of Sciences

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Henan Province, Key Scientific Research Project of Colleges and Universities in Henan Province

Awards: 铱酸锶低维结构的量子调控及其电化学能量转换性能研究, G5458573644, G7135840225

OpenAlex ID: W4401733579

FWCI: 1.232

Cites: 43

Cited by: 12

Related to: 10