Work

Machine Learning-Assisted ZnIn 2 S 4 /TiO 2 Heterostructure Gas Sensor for Sensitive, Stable, and Reliable Triethylamine Detection in Complex Environments

Year: 2026

Type: article

Source: ACS Applied Electronic Materials

DOI: 10.1021/acsaelm.5c02572

Authors: Kaibin Zhang, Ronglong Li, Yi Cao, Lun Yang, Xiaobing Hu, Zhigang Zhu

Institutions: Hubei Normal University, University of Shanghai for Science and Technology

Language: English

Topic: Gas Sensing Nanomaterials and Sensors

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hubei Province

Awards: G3354336542, G8959690826

OpenAlex ID: W7124992704

FWCI: 5.297

Cites: 50

Cited by: 3

Related to: