Two-dimensional materials for artificial sensory devices: advancing neuromorphic sensing technology

Two-dimensional materials like graphene and transition metal dichalcogenides offer unique properties ideal for neuromorphic and artificial sensory devices, enabling precise emulation of neural functions with enhanced energy efficiency and flexibility. Despite their potential, challenges such as scalability, uniformity, and stability hinder widespread adoption. This review explores advancements, applications in robotics and AI, and future challenges in scaling 2D-based neuromorphic devices for real-world use.

Authors

Institutions

Publication Details

Journal
npj 2D Materials and Applications
Published
2025-05-02
DOI
https://doi.org/10.1038/s41699-025-00556-2
Citations
17
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
12.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-dimensional materials for artificial sensory devices: advancing neuromorphic sensing technology

Ki Chang Kwon, Yeongjun Lee, Hyeongyu Gim, Kootak Hong et al.
17 citations
npj 2D Materials and Applications
Advanced Memory and Neural Computing
12.42
article

Two-dimensional materials for artificial sensory devices: advancing neuromorphic sensing technology

Ki Chang Kwon, Yeongjun Lee, Hyeongyu Gim, Kootak Hong, Jae‐Kwon Ko, Chanmee Ock
article en
17 citations

Abstract

Two-dimensional materials like graphene and transition metal dichalcogenides offer unique properties ideal for neuromorphic and artificial sensory devices, enabling precise emulation of neural functions with enhanced energy efficiency and flexibility. Despite their potential, challenges such as scalability, uniformity, and stability hinder widespread adoption. This review explores advancements, applications in robotics and AI, and future challenges in scaling 2D-based neuromorphic devices for real-world use.

npj 2D Materials and ApplicationsVol. 9(1)
Chonnam National University (KR), Korea Advanced Institute of Science and Technology (KR), Chungnam National University (KR), Korea Research Institute of Standards and Science (KR), Korea University of Science and Technology (KR)
National Research Foundation, Korea Research Institute of Standards and Science, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Division of Materials Research
Openalex Percentile: Top 1%
Advanced Memory and Neural Computing
12.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.