A Novel Artificial Neuron-Like Gas Sensor Constructed from CuS Quantum Dots/Bi₂S₃ Nanosheets.

ABSTRACT: Real-time rapid detection of toxic gases at room temperature is particularly important for public health and environmental monitoring. Gas sensors based on conventional bulk materials often suffer from their poor surface-sensitive sites, leading to a very low gas adsorption ability. Moreover, the charge transportation efficiency is usually inhibited by the low defect density of surface-sensitive area than that in the interior. In this work, a gas sensing structure model based on CuS quantum dots/Bi₂S₃ nanosheets (CuS QDs/Bi₂S₃ NSs) inspired by artificial neuron network is constructed. Simulation analysis by density functional calculation revealed that CuS QDs and Bi₂S₃ NSs can be used as the main adsorption sites and charge

SUBMITTER: Chen X 

PROVIDER: S-EPMC8639894 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature