Density Functional Theory Study of Two-Dimensional SnS2 Doping for Detection of Hydrogen Sulfide
Source abstract
Abstract
The efficient and rapid detection of toxic and combustible H 2 S released during industrial processes is extremely crucial. However, two-dimensional (2D) SnS 2 shows a weak interaction with H 2 S, leading to difficult detection. In this work, we use density functional theory (DFT) calculations to modify the SnS 2 monolayer by N, P, Ge, and Se doping and investigate the adsorption properties and gas-sensing mechanism of each doped SnS 2 . By analyzing the adsorption energy, charge density difference, band structure, and recovery time, we suggest that Ge and Se doping is detrimental to the detection of H 2 S. Significantly, N and P doping can efficiently strengthen the interaction between SnS 2 and H 2 S and simultaneously maintain the physisorption with the adsorption energy of −0.60 eV and −0.64 eV, leading to a suitable recovery time (5.64 × 10 –2 s and 1.20 × 10 –2 s). The H 2 S@N and P-SnS 2 systems exhibit significant band gap decreases (1.51 and 0.84 eV). Moreover, combined with nonequilibrium Green’s function (NEGF) method, the simulation of current–voltage characteristics further reveals their high sensitivity, reaching nearly 100%. Hence, the DFT and NEGF calculations in this work provide an efficient doping strategy to make 2D SnS 2 a highly reusable and sensitive gas sensor for the detection of H 2 S.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Gas Sensing Nanomaterials and Sensors · 2D Materials and Applications · Sulfur Compounds in Biology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Physics Science and Technology, Yangzhou University, Yangzhou 225002, China
MIIT Key Laboratory of Advanced Display Materials and Devices, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Funding
Qinglan Project of Jiangsu Province of China · Natural Science Foundation of Jiangsu Province · Six Talent Peaks Project in Jiangsu Province · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China
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