Advances in All-optically Controlled Oxide Synapses
Abstract Brain-like neuromorphic computing is expected to overcome the bottleneck of traditional von Neumann computing architecture achieving low power consumption and highly efficient information processing thereby ad vancing artificial intelligence technology.Artificial synapses are key hardware for building neuromorphic systems
Authors
- Lingxiang Hu (ORCID: https://orcid.org/0000-0002-7925-2635)
- Fei Zhuge (ORCID: https://orcid.org/0000-0002-1370-5806)
- Jingrui Wang (ORCID: https://orcid.org/0000-0002-1154-4535)
- Zijun Ye
- Peihong Cheng (ORCID: https://orcid.org/0000-0002-6011-9703)
- Howard S. Ying
- H. Shan
Publication Details
- Journal
- Chinese Journal of Luminescence
- Published
- 2025-01-01
- DOI
- https://doi.org/10.37188/cjl.20240251
- Primary Topic
- Electronic and Structural Properties of Oxides
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Natural Science Foundation of Ningbo
- Natural Science Foundation of Zhejiang Province