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Qiujiang Chen

As seen in: Wiley Online Library, Royal Society of Chemistry
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Articles by Qiujiang Chen

SnS‐Facilitated ZnAlSnO‐Based Fully Optically Modulated Artificial Synaptic Device for Image Processing

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By Ruqi Yang, Dunan Hu, Qiujiang Chen, Zihan Wang
| Wiley Online Library Verified
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description adfm202414210-sup-0001-SuppMat.docx584.5 KB Supporting Information References 1, , , , , Nat Mach Intell 2023, 5, 1176. 2, Joule 2023, 7, 2191. 3, , , , , , , , , Adv. Mater. 2024, 36, 2307393. 4, , , , , , , Mater. Horiz. 2023, 10, 3269. 5, , , , , , , , , , , Int. J. Extrem. Manuf. 2023, 5, 042006. 6, , , , , , , , , Adv. Funct. Mater. 2024, 34, 2310001. 7, , , , , , Adv. Mater. 2020, 32, 1903558.
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Artificial Neurosynaptic Device Based on Amorphous Oxides for Artificial Neural Network Constructing

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By Ruqi Yang, Dunan Hu, Zhizhen Ye, Qiujiang Chen
| Royal Society of Chemistry Verified
Artificial Neurosynaptic Device Based on Amorphous Oxides for Artificial Neural Network Constructing The von Neumann architecture places restrictions on how much energy conventional computers can use for artificial intelligence training. We created a three-terminal artificial neural synapse that is electronically controlled using amorphous InAlZnO, which was inspired by biological synapses.
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