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Low‐Energy‐Consumption and Electret‐Free Photosynaptic Transistor Utilizing Poly(3‐hexylthiophene)‐Based Conjugated Block Copolymers
Neuromorphic computation possesses the advantages of self‐learning, highly parallel computation, and low energy consumption, and is of great promise to overcome the bottleneck of von Neumann computation. In this work, a series of poly(3‐hexylthiophene) (P3HT)‐based block copolymers (BCPs) with diffe...
Autores principales: | Yang, Wei‐Chen, Lin, Yan‐Cheng, Inagaki, Shin, Shimizu, Hiroya, Ercan, Ender, Hsu, Li‐Che, Chueh, Chu‐Chen, Higashihara, Tomoya, Chen, Wen‐Chang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922097/ https://www.ncbi.nlm.nih.gov/pubmed/35064648 http://dx.doi.org/10.1002/advs.202105190 |
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