Emulating synaptic response in n- and p-channel MoS₂ transistors by utilizing charge trapping dynamics.

ABSTRACT: Brain-inspired, neuromorphic computing aims to address the growing computational complexity and power consumption in modern von-Neumann architectures. Progress in this area has been hindered due to the lack of hardware elements that can mimic neuronal/synaptic behavior which form the fundamental building blocks for spiking neural networks (SNNs). In this work, we leverage the short/long term memory effects due to the electron trapping events in an atomically thin channel transistor that mimic the exchange of neurotransmitters and emulate a synaptic response. Re-doped (n-type) and Nb-doped (p-type) molybdenum di-sulfide (MoS₂) field-effect transistors are examined using pulsed-gate measurements, which identify the time scales of electron trapping/de-trapping. The devices demonstr

SUBMITTER: Bhattacharjee S 

PROVIDER: S-EPMC7376145 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature