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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
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

Internet

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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