Two Dimensional Near Atom Thickness Materials for Emerging Neuromorphic Devices and Applications

Tae-Jun Ko, Hao Li, Sohrab Alex Mofid, Changhyeon Yoo, Emmanuel Okogbue, Sang Sub Han, Mashiyat Sumaiya Shawkat, Adithi Krishnaprasad, Molla Manjurul Islam, Durjoy Dev, Yongjun Shin, Kyu Hwan Oh (+3 others)
2020 iScience  
Two-dimensional (2D) layered materials and their heterostructures have recently been recognized as promising building blocks for futuristic brain-like neuromorphic computing devices. They exhibit unique properties such as near-atomic thickness, dangling-bond-free surfaces, high mechanical robustness, and electrical/optical tunability. Such attributes unattainable with traditional electronic materials are particularly promising for high-performance artificial neurons and synapses, enabling
more » ... -efficient operation, high integration density, and excellent scalability. In this review, diverse 2D materials explored for neuromorphic applications, including graphene, transition metal dichalcogenides, hexagonal boron nitride, and black phosphorous, are comprehensively overviewed. Their promise for neuromorphic applications are fully discussed in terms of material property suitability and device operation principles. Furthermore, up-to-date demonstrations of neuromorphic devices based on 2D materials or their heterostructures are presented. Lastly, the challenges associated with the successful implementation of 2D materials into large-scale devices and their material quality control will be outlined along with the future prospect of these emergent materials.
doi:10.1016/j.isci.2020.101676 pmid:33163934 pmcid:PMC7600392 fatcat:qngn3zqhn5fvrbstpytawxllda