New Machine-learning Approach Identifies One Molecule In A Billion Selectively, With Graphene Sensors

This article discusses the potential of graphene-based gas sensors for applications in environmental monitoring and non-invasive medical diagnosis. Despite graphene’s 2D nature, single molecule sensitivity, low noise, and high carrier concentration, its applications in gas sensing are often limited to controlled environments due to its inherent non-selectivity and huge p-doping in atmospheric air. The research team led by Dr. Manoharan Muruganathan and Prof. Rajesh Ramanathan has developed a novel approach to selectively detect gases in atmospheric air.