Designing next-generation neural interfaces with graphene

In order to fully exploit the potential of neural interfaces, the forthcoming generation of devices is expected to simultaneously offer multiple functionalities, including recording and stimulation of electrical activity, recognition of neurotransmitters, neuromodulators and other neurologically relevant biomolecules, as well as the capability for controlled drug delivery. Graphene and other 2D materials possess an array of properties (flexibility, electrical mobility, large surface area available for interaction with the neuronal components and amenable to surface modifications) that can enable enhanced functional capabilities for neural interfaces.

Assembly of nanoparticles proceeds like a zipper

It has always been the Holy Grail of materials science to describe and control the material’s structure-function relationship. Nanoparticles are an attractive class of components to be used in functional materials because they exhibit size-dependent properties, such as superparamagnetism and plasmonic absorption of light. Furthermore, controlling the arrangement of nanoparticles can result in unforeseen properties, but such studies are hard to carry out due to limited efficient approaches to produce well-defined three-dimensional nanostructures.

Assembly of nanoparticles proceeds like a zipper

It has always been the Holy Grail of materials science to describe and control the material’s structure-function relationship. Nanoparticles are an attractive class of components to be used in functional materials because they exhibit size-dependent properties, such as superparamagnetism and plasmonic absorption of light. Furthermore, controlling the arrangement of nanoparticles can result in unforeseen properties, but such studies are hard to carry out due to limited efficient approaches to produce well-defined three-dimensional nanostructures.