Density Functional Theory Study of Transition-Metal-Doped CdS Monolayers for Hazardous Gas Sensing

, making it a promising candidate for efficient multigas detection. This work provides a reliable theoretical foundation for the design of high-performance CdS-based gas sensors and promotes the advancement of gas-sensing technology in environmental monitoring and industrial safety applications.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2026-04-30
DOI
https://doi.org/10.1021/acs.langmuir.6c00989
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Density Functional Theory Study of Transition-Metal-Doped CdS Monolayers for Hazardous Gas Sensing

Jingxiang Zhao, Ying Duan, Zengming Qin, You Li et al.
Langmuir
2D Materials and Applications
article

Density Functional Theory Study of Transition-Metal-Doped CdS Monolayers for Hazardous Gas Sensing

Jingxiang Zhao, Ying Duan, Zengming Qin, You Li, Wang Yu, Feng Wang
article en

Abstract

, making it a promising candidate for efficient multigas detection. This work provides a reliable theoretical foundation for the design of high-performance CdS-based gas sensors and promotes the advancement of gas-sensing technology in environmental monitoring and industrial safety applications.

Langmuir
Heilongjiang University of Science and Technology (CN), Harbin Normal University (CN), Harbin University of Commerce (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
2D Materials and Applications
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.