Lin, Chen FuChen FuLinWu, Ya ShuanYa ShuanWuHsieh, Hui ChingHui ChingHsiehChen, Wei ChengWei ChengChenIsono, TakuyaTakuyaIsonoSatoh, ToshifumiToshifumiSatohLin, Yan ChengYan ChengLinKuo, Chi ChingChi ChingKuoWEN-CHANG CHEN2024-03-012024-03-012024-03-0100323861https://scholars.lib.ntu.edu.tw/handle/123456789/640137Photonic transistor memory, which adopts the structure of a field-effect transistor, combines optical and electronic principles. Conjugated block copolymers (BCPs) are promising electret materials for optoelectronic applications. In this study, a series of BCPs comprising poly[2,7-(9,9-dioctylfluorene)] (PFO: A block) and poly(n-butyl acrylate-random-2-ureido-4[1H]pyrimidinone acrylate) (nBA-r-UPyA: B block), with linear-diblock (AB), branched (AB2), and linear-triblock (BAB) architectures, are synthesized to investigate hydrogen bonding effect stemming from UPyA groups. After thermal annealing, the soft segments of BCPs lead to self-assembled arrangements and smoother morphologies, providing an excellent interface for the deposition of the semiconducting channel layer. Furthermore, forming vertical phase-separated structures through thermal annealing significantly enhances the electron-capture capability. Subsequently, the BCP materials are applied in photonic transistor memory and conducted with electrical characterization. Our study reveals that different compositions of BCP architectures have a corresponding impact on the performance of photonic transistor memory devices. Consequently, AB of PFO-b-P(nBA-r-UPyA)s with a linear-diblock architecture presents an outperforming memory ratio of ∼105, outstanding memory stability over 104 s, and durability to consecutive write/erase processes.Block copolymers | Field-effect transistors | Nonvolatile memory | Photomemory | Polyfluorene[SDGs]SDG7Enhanced performance of phototransistor memory by optimizing the block copolymer architectures comprising Polyfluorenes and hydrogen-bonded insulating coilsjournal article10.1016/j.polymer.2024.1267722-s2.0-85184519667https://api.elsevier.com/content/abstract/scopus_id/85184519667