Ultralow Energy Consumption and Fast Neuromorphic Computing Based on La0.1Bi0.9FeO3 Ferroelectric Tunnel Junctions
Pan Gao,
Mengyuan Duan,
Guanghong Yang
et al.
Abstract:Low-power and fast artificial neural network devices represent the direction in developing analogue neural networks.Here, an ultralow power consumption (0.8 fJ) and rapid (100 ns) La 0.1 Bi 0.9 FeO 3 /La 0.7 Sr 0.3 MnO 3 ferroelectric tunnel junction artificial synapse has been developed to emulate the biological neural networks. The visual memory and forgetting functionalities have been emulated based on long-term potentiation and depression with good linearity. Moreover, with a single device, logical operati… Show more
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