We developed a flexible RRAM for neuromorphic systems using a CdSe Quantum Dot-P4VP(Poly-4-vinylpyridine) composite with a graphene interfacial layer for superior reliability and flexibility. Exhibiting linear synaptic updates, the device achieved 87.41% MNIST pattern recognition accuracy, showing great promise as a synaptic device for wearable AI.
B. Kim, J. Moon, S. Lee, S. Kim, H. Choi, D. Park, D. Kim and Y. Kim, J. Mater. Chem. C, 2026, Accepted Manuscript , DOI: 10.1039/D5TC03937A
This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.
To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.
If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.
If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.
Read more about how to correctly acknowledge RSC content.
Please wait while we load your content...
