New Machine-learning Approach Enables To Identify One Molecule In A Billion

Graphene has been gaining a lot of attention for its potential applications in gas sensors due to its unique properties. However, its non-selectivity and huge p-doping in atmospheric air limit its use in gas sensing in uncontrolled environments. To overcome this, researchers are exploring ways to achieve controlled hole doping of the graphene channel and selective gas detection in atmospheric air. This could be used for applications such as environmental monitoring and non-invasive medical diagnosis.