Abstract
Neuromorphic computing is known for its effi-cient computational speed,low latency,and reduced power consumption,which is considered a pivotal technology to overcome the von Neumann bottleneck.Artificial synapses are an indispensable component of neuromorphic compu-tational artificial neural networks.To guarantee effective and precise processing of optical signals,it must have a high responsivity,detectivity,and the ability to adapt to various environments.Here,a synaptic transistor based on the HfS2/VO2 heterojunction with a responsivity of 8.6 × 103 A·W-1 and a detectivity of 1.26 × 1014 Jones at 405 nm laser was reported.Meanwhile,the typical synaptic behavior was successfully simulated,including postsynaptic currents(PSCs),the transition from short-term plasticity(STP)to long-term plasticity(LTP).When VO2 converts from the semiconductor state to the metal state,the HfS2/VO2 heterojunction transforms into a Schottky heterojunction from a Type Ⅱ heterojunction with temperature.What's important,the heterojunction still exhibits excellent responsivity and detectivity,as well as stability of synaptic properties.In addition,the classical Pavlovian conditioning experiment is simulated under different laser intensity to study the brain's associative learning behavior.The results demonstrate that the HfS2/VO2 heterojunction synapse exhibits significant respon-sivity and detectivity and is adaptable to high-temperature environments,showing great potential for neuromorphic computational applications.
基金项目
National Key Research and Development Program of China(2019YFB2203403)
National Natural Science Foundation of China(61974043)
National Natural Science Foundation of China(62074058)
National Natural Science Foundation of China(12104156)
Projects of Science and Technology Commission of Shanghai Municipality(21JC1402100)
Natural Science Foundation of Chongqing,China(CSTB2022NSCQ-MSX1367)
Program for Professor of Special Appointment(Eastern Scholar)at Shanghai Institutions of Higher Learning()
万方数据