With a rising emphasis on public safety and quality of life, there is an urgent need to ensure
optimal air quality, both indoors and outdoors. Detecting toxic gaseous compounds plays a …

Abstract Machine learning holds significant research potential in the field of nanotechnology,
enabling nanomaterial structure and property predictions, facilitating materials design and …

Unaware fatigue causes inefficiencies and unsafe behaviors. Therefore, an easily-used
technique to monitor labor intensity is critical. In this work, the humidity-sensitive material Cs …

The design of high-performance and low-power formaldehyde (HCHO) gas sensors is of
great interest to researchers for environmental monitoring and human health. Herein …

Monitoring electrolyte components is an effective means of determining the safety status of
lithium-ion batteries. In this study, indium acetate was taken as a ligand to functionalize …

Triethylamine (TEA) as an excellent solvent, polymer inhibitor and preservative often
appears in various places in industrial production, but its harm can not be underestimated …

Gas sensors integrated with machine learning algorithms have aroused keen interest in
pattern recognition, which ameliorates the drawback of poor selectivity on a sensor. Among …

Volatile organic compound (VOC) gases are highly hazardous to human health, and their
presence in the human breath plays an indispensable role for the early diagnosis of various …

The presence of leakage in respiratory protective equipment undermines its intended
efficacy in protection. Therefore, the real-time monitoring of leakage in respiratory protective …

Room-temperature gas-sensitive materials are urgently needed for lithium-ion battery
monitoring to ensure the safety of battery. In this work, we proposed a strategy for predicting …