Neuromorphic engineering in GaN HEMTs exploiting dendritic dislocations for neuromodulation behaviors and adaptive intelligent power forecasting systems-Reference-Cited by-同舟云学术

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Neuromorphic engineering in GaN HEMTs exploiting dendritic dislocations for neuromodulation behaviors and adaptive intelligent power forecasting systems

Published:2024-11 Issue: Volume:130 Page:110129
ISSN:2211-2855
Container-title:Nano Energy
language:en
Short-container-title:Nano Energy

Author:

Li Lei,Liu Huangbai,Peng Qunkai,Dai Tianjiao,Peng Zehui,Xu Yihua,Yu Hao,Lin Xinnan,Chang Kuan-Chang

Funder

Peking University Shenzhen Graduate School

National Aerospace Science Foundation of China

Shenzhen Municipal Fundamental Research Program

Department of Natural Resources of Guangdong Province

Anhui Polytechnic University

Publisher

Elsevier BV

Reference51 articles.

1. Physics for neuromorphic computing;Markovic;Nat. Rev. Phys.,2020

2. Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability;Chen;Nat. Commun.,2024

3. An elastic and reconfigurable synaptic transistor based on a stretchable bilayer semiconductor;Shim;Nat. Electron,2022

4. Dynamical memristors for higher-complexity neuromorphic computing;Kumar;Nat. Rev. Mater.,2022

5. Memristor-based adaptive neuromorphic perception in unstructured environments;Wang;Nat. Commun.,2024

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