Physical Vapor Deposited Nanomaterials for Gas Sensing: Design Strategies, Performance Limits and Machine learning prospects

Key Points

• This research aims to explore design strategies and performance limits of nanomaterials for gas sensing applications.
• Utilized physical vapor deposition to create high-quality thin films.
• Employed machine learning techniques to analyze performance data and optimize designs.
• Investigated a range of nanomaterials suitable for gas sensing applications.
• Demonstrated improved gas sensor performance with optimized PVD nanomaterials.
• Identified key design factors that enhance sensitivity and selectivity for specific gases.
• Machine learning models showed promise in predicting performance metrics based on material properties.