Source abstract
Abstract
2D materials-based planar devices have been sought after for gas and humidity sensor applications owing to their high sensitivity due to their ultrathin nature and increased surface area. Herein, 2D WSe 2 films-based planner devices were fabricated to evaluate their performance for potential application in humidity sensors. The structure and morphology of the WSe 2 sensing films were studied by Raman spectroscopy, photoluminescence, optical microscopy, and scanning electron microscopy (SEM) techniques. The relative humidity-dependent sensing performances of the 2D WSe 2 films were evaluated using current–voltage (I–V), relative impedance, and complex total impedance (electrochemical impedance spectroscopy, EIS) techniques. This sensor showed a very stable and repeatable performance investigated over the period of 18 months. The response and recovery times of the WSe 2 -based impedance sensors were found to be 40 and 30 s, respectively. The WSe 2 sensor exhibits a 2 ± 1% minimum hysteresis at a lower humidity level (50% RH) and around 8 ± 2% maximum hysteresis at relative humidity level (70% RH). This value of hysteresis is in the acceptable range during the initial investigation of any material to explore its potential for application in humidity sensors. The density functional theory (DFT) analysis was performed with the interaction from water molecules of the WSe 2 sample for a better understanding of the sensing mechanism of devices.
Source: openalex_inverted_index · Quality: baseline
Affiliations
Qatar University Young Scientists Center, Qatar University, Doha, Qatar
Department of Materials Science and Nanoengineering, Rice University, Houston, Texas 77005, United States
São Paulo State University (Unesp), School of Sciences, Department of Physics and Meteorology, Bauru, São Paulo 17033-360, Brazil
Applied Physics Department, Gleb Wataghin Institute of Physics, State University of Campinas, Campinas, São Paulo 13083-970, Brazil
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
Center for Computing in Engineering & Sciences, State University of Campinas, Campinas, São Paulo 13083-970, Brazil
Funding
Qatar National Research Fund