{"title":"Predictive Analysis of Gas Sensing Properties in a Novel 2-D Gallium Oxide Phase","authors":"Afreen Anamul Haque;Suraj Ghanshyam Dhongade;Aniket Singha","doi":"10.1109/JSEN.2025.3548153","DOIUrl":null,"url":null,"abstract":"Gas sensors based on 2-D materials have gained significant research attention due to their numerous advantageous properties, including a high surface-to-volume ratio, exceptional electrical conductivity, tunable electronic properties, mechanical flexibility, and potential for functionalization to enhance sensitivity and selectivity. In this article, we use first-principles calculations to conduct a predictive study on the gas sensing properties of a recently proposed novel 2-D phase of gallium oxide monolayer, with a unit cell formula of Ga2O2. Our findings illustrate that the monolayer exhibits remarkable sensitivity and selectivity for detecting NH3 molecules. In addition, although NO demonstrates comparatively lower adsorption energy on the monolayer, it reveals exceptionally favorable attributes for sensitivity, making the monolayer suitable for detecting NO molecules at lower temperatures. The low adsorption energy of the monolayer toward ambient molecules makes it suitable for deployment in ambient environments. The monolayer also shows potential for enhanced NH3 sensitivity through application of appropriate strain. Thus, the Ga2O2 monolayer emerges as a promising candidate for the fabrication of commercial 2-D gas sensors.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"12644-12652"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10923654/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Gas sensors based on 2-D materials have gained significant research attention due to their numerous advantageous properties, including a high surface-to-volume ratio, exceptional electrical conductivity, tunable electronic properties, mechanical flexibility, and potential for functionalization to enhance sensitivity and selectivity. In this article, we use first-principles calculations to conduct a predictive study on the gas sensing properties of a recently proposed novel 2-D phase of gallium oxide monolayer, with a unit cell formula of Ga2O2. Our findings illustrate that the monolayer exhibits remarkable sensitivity and selectivity for detecting NH3 molecules. In addition, although NO demonstrates comparatively lower adsorption energy on the monolayer, it reveals exceptionally favorable attributes for sensitivity, making the monolayer suitable for detecting NO molecules at lower temperatures. The low adsorption energy of the monolayer toward ambient molecules makes it suitable for deployment in ambient environments. The monolayer also shows potential for enhanced NH3 sensitivity through application of appropriate strain. Thus, the Ga2O2 monolayer emerges as a promising candidate for the fabrication of commercial 2-D gas sensors.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
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-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice