Work

2D materials-based 3D integration for neuromorphic hardware

Year: 2024

Type: article

Abstract: Neuromorphic hardware enables energy-efficient computing, which is essential for a sustainable system. Recently, significant progress has been reported in neuromorphic hardware based on two-dimensional materials. However, traditional planar-integrated architectures still suffer from high energy consumption. This review systematically explores recent advances in the three-dimensional integration of two-dimensional material-based neuromorphic hardware to address these challenges. The materials, process, device physics, array, and integration levels are discussed, highlighting challenges and perspectives.

Source: npj 2D Materials and Applications

DOI: 10.1038/s41699-024-00509-1

Authors: Seung Ju Kim, Hyeon-Ji Lee, Chul-Ho Lee, Ho Won Jang

Institutions: University of Southern California, Seoul National University, Advanced Institute of Convergence Technology

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,290

Funder: National Research Foundation of Korea