In the exciting era of artificial intelligence (AI)
and big data, new advanced data storage and processing
technologies are of great interest. The novel neuromorphic
computing hardware based on nanoscale memristive materials
holds the potential to overcome the von Neumann bottleneck.
Specifically, carbon nanomaterials have emerged as a promising
tool for the next generation of neuromorphic devices. This paper
comprehensively reviews the recent advances in memristors
based on 0D, 1D, and 2D carbon nanostructure materials for
neuromorphic applications