Work

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

Year: 2025

Type: article

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.

Source: FlexMat.

DOI: 10.1002/flm2.70021

Authors: Mingyi Ding, Deyang Ji, Wenping Hu

Institution: Tianjin University

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funder: National Key Research and Development Program of China

Award: G3922018314