Memristors that emulate synaptic plasticity are building
blocks
for opening a new era of energy-efficient neuromorphic computing architecture,
which will overcome the limitation of the von Neumann bottleneck.
Layered two-dimensional (2D) Bi2O2Se, as an
emerging material for next-generation electronics, is of great significance
in improving the efficiency and performance of memristive devices.
Herein, high-quality Bi2O2Se nanosheets are
grown by configuring mica substrates face-down on the Bi2O2Se powder. Then, bipolar Bi2O2Se memristors are fabricated with excellent performance including
ultrafast switching speed (<5 ns) and low-power consumption (<3.02
pJ). Moreover, synaptic plasticity, such as long-term potentiation/depression
(LTP/LTD), paired-pulse facilitation (PPF), and spike-timing-dependent
plasticity (STDP), are demonstrated in the Bi2O2Se memristor. Furthermore, MNIST recognition with simulated artificial
neural networks (ANN) based on conductance modification could reach
a high accuracy of 91%. Notably, the 2D Bi2O2Se enables the memristor to possess ultrafast and low-power attributes,
showing great potential in neuromorphic computing applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.