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.
Original language | English |
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Article number | 2500054 |
Journal | Advanced Electronic Materials |
Volume | XX |
Issue number | X |
DOIs | |
Publication status | E-pub ahead of print - 22 Feb 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s). Advanced Electronic Materials published by Wiley-VCH GmbH.
Keywords
- analog non-volatile memory
- crossbar array
- electrochemical random-access memory (ECRAM)
- in-memory computing
- neuromorphic computing