Degradable organic neuromorphic transistors: Emerging progress in optoelectronically co‐reconfigurable devices for sustainable electronics

Abstract Degradable organic neuromorphic transistors, emerging as a promising platform for sustainable electronics, address the evolving demands of future artificial intelligence technologies. By synergizing the computational efficiency of neuromorphic architectures with eco‐friendly attributes, these devices offer a dual advantage in computational performance and environmental sustainability. Current research on such transistors, while primarily at the laboratory scale, opens new avenues at the intersection of sustainable materials and neuromorphic computing. This review highlights recent advances in electronically controlled and optoelectronically co‐reconfigurable organic neuromorphic transistors in degradable electronics. Furthermore, leveraging established expertise in organic electronics, we critically examine key challenges, including material selection and device engineering in this nascent field.

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Publication Details

Journal
FlexMat.
Published
2025-11-30
DOI
https://doi.org/10.1002/flm2.70021
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73
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article

Degradable organic neuromorphic transistors: Emerging progress in optoelectronically co‐reconfigurable devices for sustainable electronics

Mingyi Ding, Deyang Ji, Wenping Hu
1 citations
FlexMat.
Advanced Memory and Neural Computing
0.73
article

Degradable organic neuromorphic transistors: Emerging progress in optoelectronically co‐reconfigurable devices for sustainable electronics

Mingyi Ding, Deyang Ji, Wenping Hu
article en
1 citations

Abstract

Abstract Degradable organic neuromorphic transistors, emerging as a promising platform for sustainable electronics, address the evolving demands of future artificial intelligence technologies. By synergizing the computational efficiency of neuromorphic architectures with eco‐friendly attributes, these devices offer a dual advantage in computational performance and environmental sustainability. Current research on such transistors, while primarily at the laboratory scale, opens new avenues at the intersection of sustainable materials and neuromorphic computing. This review highlights recent advances in electronically controlled and optoelectronically co‐reconfigurable organic neuromorphic transistors in degradable electronics. Furthermore, leveraging established expertise in organic electronics, we critically examine key challenges, including material selection and device engineering in this nascent field.

FlexMat.Vol. 2(4)
Tianjin University (CN)
Openalex Percentile: Top 21%
Advanced Memory and Neural Computing
0.73
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