Memristive Neural Networks: Zeolite‐Based Memristive Synapse with Ultralow Sub‐10‐fJ Energy Consumption for Neuromorphic Computation (Small 13/2021)
Source abstract
Abstract
In article number 2006662, Zhongqiang Wang, Haiyang Xu, Guangshan Zhu, and co-workers report a zeolite-based memristive synapse with an ultralow energy consumption of sub-10 fJ per synaptic spike. Several essential synaptic learning and memory functions are demonstrated in such zeolite-based memristive synapse by electrical and chemical methods, which facilitates the development of highly efficient memristive neural networks.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Polydiacetylene-based materials and applications · Photoreceptor and optogenetics research
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Affiliations
Key Laboratory for UV Light‐Emitting Materials and Technology (Northeast Normal University) Ministry of Education 5268 Renmin Street Changchun 130024 P. R. China
Faculty of Chemistry Northeast Normal University 5268 Renmin Street Changchun 130024 P. R. China
References
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