All Organic Fully Integrated Neuromorphic Crossbar Array

Abstract Analog non‐volatile memory devices, such as electrochemical random‐access memory (ECRAM), have emerged as a promising platform for in‐memory computing, facilitating efficient data processing. In this research, a pioneering approach is presented by introducing an all‐organic and fully integrated crossbar array comprising 3 × 3 ECRAM devices, notable for its facile fabrication employing photolithography techniques and exclusive utilization of organic materials for the devices and resistors. The crossbar array demonstrates remarkable capabilities, enabling inference and in situ parallel training, leading to high accuracy when classifying linearly separable 2D and 3D tasks. Notably, the biocompatible nature of the materials employed in the array offers promising prospects for the development of smart and adaptable bioelectronics that can directly interface with the biological environment.

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Institutions

Publication Details

Journal
Advanced Electronic Materials
Published
2025-02-22
DOI
https://doi.org/10.1002/aelm.202500054
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19

Funders

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article

All Organic Fully Integrated Neuromorphic Crossbar Array

Tim Stevens, Setareh Kazemzadeh, Yoeri van de Burgt
3 citations
Advanced Electronic Materials
Advanced Memory and Neural Computing
2.19
article

All Organic Fully Integrated Neuromorphic Crossbar Array

Tim Stevens, Setareh Kazemzadeh, Yoeri van de Burgt
article en
3 citations

Abstract

Abstract Analog non‐volatile memory devices, such as electrochemical random‐access memory (ECRAM), have emerged as a promising platform for in‐memory computing, facilitating efficient data processing. In this research, a pioneering approach is presented by introducing an all‐organic and fully integrated crossbar array comprising 3 × 3 ECRAM devices, notable for its facile fabrication employing photolithography techniques and exclusive utilization of organic materials for the devices and resistors. The crossbar array demonstrates remarkable capabilities, enabling inference and in situ parallel training, leading to high accuracy when classifying linearly separable 2D and 3D tasks. Notably, the biocompatible nature of the materials employed in the array offers promising prospects for the development of smart and adaptable bioelectronics that can directly interface with the biological environment.

Advanced Electronic Materials
Eindhoven University of Technology (NL)
HORIZON EUROPE European Research Council
Openalex Percentile: Top 13%
Advanced Memory and Neural Computing
2.19
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All Organic Fully Integrated Neuromorphic Crossbar Array — Tim Stevens, Setareh Kazemzadeh, et al. · Advanced Electronic Materials (2025) | TGRS Research Map | TGRS