材料科学
波动性(金融)
水溶液
油藏计算
纳米技术
化学工程
业务
计算机科学
有机化学
人工智能
工程类
化学
财务
人工神经网络
循环神经网络
作者
Zheng Li,Qingqing Wu,Yazhou Wang,Peng Lin,Jing-Juan Xu,Hong‐Yuan Chen,Weiwei Zhao
出处
期刊:PubMed
日期:2025-09-12
卷期号:: e07054-e07054
标识
DOI:10.1002/adma.202507054
摘要
The study on aqueous reservoir computing (RC) has just come into being. Nevertheless, aqueous RC still faces significant challenges. Recently, with the participation of real biological receptors, aqueous neuromorphic engineering is promising to emulate the intricate human brain more closely due to their synaptic resemblance in electrolytes. In this work, biologically switchable volatility and nonvolatility are first explored for real neurotransmitter glutamate-mediated aqueous RC application, which is based on rational synergy between glutamate oxidase catalytic chemistry and porphyrin-based metal-organic framework/tungsten oxide (PCN-224/WO3) photogate in the newly emerged organic photoelectrochemical transistor. As a proof of concept, the glutamate-mediated RC is then developed and explored for image recognition. These results have of potential for advancing real neurotransmitter-mediated aqueous RC toward in-biology application, which are also envisaged to promote bioinspired algorithm-hardware codesign in future aqueous neuromorphic engineering.
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