First-principles investigations noble metals adsorbed MoS<sub>2</sub> for N<sub>2</sub>O detection

Abstract By noble metal-doped MoS 2 , the gas adsorption effect and detection behaviors of N 2 O can be improved. In order to better find the gas adsorption substrate for N 2 O, we construct models of N 2 O adsorbed on intrinsic MoS 2 , defective MoS 2 , and MoS 2 doped with several noble metal atoms (Au, Ag, Cu, Pt, Pd). The energy band structure, electronic structure, differential charge density and optical properties of the systems are calculated. By comparing the adsorption energies of the intrinsic MoS 2 , defective MoS 2 and each adsorption system after doping, the results show that the adsorption energy of Cu-doped MoS 2 to N 2 O is the lowest case about −3.343 eV. The Cu-doped system has the most charge accumulation for adsorbing N 2 O, and the charge transfer amount is 1.68 | e| per molecule. Combined with the adsorption energy results, it can be explained that the adsorption effect of the Cu-doped system is the best. Compared with the intrinsic system, the band gap of the doped system is significantly reduced and a new impurity peak is formed near the Fermi level (E f ), which is beneficial to improve the conductivity of the system and improve the reducibility of the material surface. The density of states of the doped system increases and the probability of electron transition increases. The total density of state (TDOS) in the Cu-doped system is the most obvious, which indicates that the interaction between the N 2 O molecule and the Cu-doped MoS 2 system is more intense. According to the light absorption spectrum, when the metal-doped system reacts, the absorption spectrum undergoes a red shift and a new absorption peak appears in the infrared region, indicating that doping causes hybridization of orbitals and reduces the band gap, improving the conductivity of the adsorption system. According to the light reflection spectrum, when the doped system is adsorbed and reacts, the reflectivity in the visible light range is reduced, indicating that the utilization rate of visible light is increased and the response range of light is increased. Doping noble metals improves the conductivity and sensing performance of the MoS 2 system. Addressing the challenge of weak interactions between MoS 2 and N 2 O gas molecules, these findings can identify a more efficient MoS 2 -based gas sensor for N 2 O detection.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2025-05-15
DOI
https://doi.org/10.1088/1402-4896/add39e
Citations
1
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

First-principles investigations noble metals adsorbed MoS2 for N2O detection

Weiye Yang, Quanhong Ou, Zhaoxin Zhi, Gang Yu Liu et al.
1 citations
Physica Scripta
2D Materials and Applications
0.52
article

First-principles investigations noble metals adsorbed MoS2 for N2O detection

Weiye Yang, Quanhong Ou, Zhaoxin Zhi, Gang Yu Liu, Weibin Zhang, Qiang Luo, Yehao Zuo
article en
1 citations

Abstract

Abstract By noble metal-doped MoS 2 , the gas adsorption effect and detection behaviors of N 2 O can be improved. In order to better find the gas adsorption substrate for N 2 O, we construct models of N 2 O adsorbed on intrinsic MoS 2 , defective MoS 2 , and MoS 2 doped with several noble metal atoms (Au, Ag, Cu, Pt, Pd). The energy band structure, electronic structure, differential charge density and optical properties of the systems are calculated. By comparing the adsorption energies of the intrinsic MoS 2 , defective MoS 2 and each adsorption system after doping, the results show that the adsorption energy of Cu-doped MoS 2 to N 2 O is the lowest case about −3.343 eV. The Cu-doped system has the most charge accumulation for adsorbing N 2 O, and the charge transfer amount is 1.68 | e| per molecule. Combined with the adsorption energy results, it can be explained that the adsorption effect of the Cu-doped system is the best. Compared with the intrinsic system, the band gap of the doped system is significantly reduced and a new impurity peak is formed near the Fermi level (E f ), which is beneficial to improve the conductivity of the system and improve the reducibility of the material surface. The density of states of the doped system increases and the probability of electron transition increases. The total density of state (TDOS) in the Cu-doped system is the most obvious, which indicates that the interaction between the N 2 O molecule and the Cu-doped MoS 2 system is more intense. According to the light absorption spectrum, when the metal-doped system reacts, the absorption spectrum undergoes a red shift and a new absorption peak appears in the infrared region, indicating that doping causes hybridization of orbitals and reduces the band gap, improving the conductivity of the adsorption system. According to the light reflection spectrum, when the doped system is adsorbed and reacts, the reflectivity in the visible light range is reduced, indicating that the utilization rate of visible light is increased and the response range of light is increased. Doping noble metals improves the conductivity and sensing performance of the MoS 2 system. Addressing the challenge of weak interactions between MoS 2 and N 2 O gas molecules, these findings can identify a more efficient MoS 2 -based gas sensor for N 2 O detection.

Physica ScriptaVol. 100(6)
Yunnan Normal University (CN), Hainan Normal University (CN), Southwest Petroleum University (CN)
Openalex Percentile: Top 39%
2D Materials and Applications
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.