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Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices

Muhammad Hamza PervezDepartment of Semiconductor Systems Engineering Sejong University Seoul 05006 Republic of KoreaEhsan ElahiDepartment of Inorganic Chemistry University of Chemistry and Technology Prague Technicka 5 616628 Prague Czech RepublicMuhammad Asghar KhanDepartment of Electrical Engineering Sejong University Seoul 05006 Republic of KoreaMuhammad Jawad NasimDepartment of Semiconductor Systems Engineering Sejong University Seoul 05006 Republic of KoreaMuhammad AsimDepartment of Physics & Astronomy Sejong University Seoul 05006 Republic of KoreaArslan RehmatDepartment of Physics & Astronomy Sejong University Seoul 05006 Republic of KoreaMalik Abdul RehmanDepartment of Chemical Engineering New Uzbekistan University Tashkent 100007 UzbekistanMohammed A. AssiriDepartment of Chemistry College of Science King Khalid University P.O. Box 9004 Abha 61413 Saudi ArabiaShania RehmanDepartment of Semiconductor Systems Engineering Sejong University Seoul 05006 Republic of KoreaJonghwa EomDepartment of Physics & Astronomy Sejong University Seoul 05006 Republic of KoreaMuhammad Farooq KhanDepartment of Electrical Engineering Sejong University Seoul 05006 Republic of Korea
Small Structuresjournal2024en
ABI

Abstract

The rapid advancement of artificial intelligent and information technology has led to a critical need for extremely low power consumption and excellent efficiency. The capacity of neuromorphic computing to handle large amounts of data with low power consumption has garnered a lot of interest during the last few decades. For neuromorphic applications, 2D layered semiconductor materials have shown a pivotal role due to their distinctive properties. This comprehensive review provides an extensive study of the recent advancements in 2D materials‐based neuromorphic devices especially in multiterminal synaptic devices, two‐terminal synaptic devices, neuronal devices, and the integration of synaptic and neuronal devices. Herein, a wide range of potential applications of memory, computation, adaptation, and artificial intelligence is incorporated. Finally, the limitations and challenges of neuromorphic devices based on novel 2D materials are discussed. Thus, this review aims to illuminate the design and fabrication of neuromorphic devices based on van der Waals (vdW) heterostructure materials, leveraging promising engineering techniques to excel the applications and potential of neuromorphic computing for hardware implementations.

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