Memristive Neural Networks: Zeolite‐Based Memristive Synapse with Ultralow Sub‐10‐fJ Energy Consumption for Neuromorphic Computation (small 13/2021)

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.