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Advanced AI computing enabled by 2D material-based neuromorphic devices

Year: 2025

Type: article

Abstract: Neuromorphic systems are emerging as a promising alternative to revolutionize silicon-based computing devices. Two-dimensional materials are considered promising candidates for active materials due to their unique advantages. This review provides a comprehensive overview of neuromorphic computing based on 2D materials, encompassing the development from the synaptic devices based on 2D materials to the neuromorphic system demonstration. Besides, we further outline various applications of neuromorphic computing in the emerging applications of neuromorphic computing

Source: npj Unconventional Computing

DOI: 10.1038/s44335-025-00023-7

Authors: Yunseok Choi, Siwoo Jeong, Hyeonu Jeong, Sangmoon Han, Jonghyeon Ko, Si Eun Yu, Zhihao Xu, Min Seong Chae, Minjae Son, Yuan Meng, Shijue Xu, Ji-Hoon Kang, Sungchul Mun, Sang‑Hoon Bae

Institutions: Washington University in St. Louis, Kyungil University, Inha University, Queensland University of Technology, Jeonju University

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,590

Funders: National Science Foundation, National Research Foundation, Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology, National Research Foundation of Korea, Division of Materials Research

Awards: Collaborative Research: Remote epitaxy on van der Waals materials: unveiling adatom interaction, growing single-crystal membranes, and producing unconventional heterostructures, G2047787838, G4704149322, G6477190514, Collaborative Research: FuSe: Monolithic 3D Integration (M3D) of 2D Materials-Based CFET Logic Elements towards Advanced Microelectronics, G7639089420

OpenAlex ID: W4409619400

FWCI: 8.338

Cites: 100

Cited by: 37

Related to: 10