Center for Advancing Electronics Dresden (cfaed) & Faculty of Chemistry and Food Chemistry, Technische Universität Dresden, 01062, Dresden, Germany.
Leibniz-Institut für Polymerforschung Dresden e. V. (IPF), 01069, Dresden, Germany.
Angew Chem Int Ed Engl. 2020 May 18;59(21):8218-8224. doi: 10.1002/anie.201916595. Epub 2020 Mar 19.
Despite the recent progress in the synthesis of crystalline boronate ester covalent organic frameworks (BECOFs) in powder and thin-film through solvothermal method and on-solid-surface synthesis, respectively, their applications in electronics, remain less explored due to the challenges in thin-film processability and device integration associated with the control of film thickness, layer orientation, stability and crystallinity. Moreover, although the crystalline domain sizes of the powder samples can reach micrometer scale (up to ≈1.5 μm), the reported thin-film samples have so far rather small crystalline domains up to 100 nm. Here we demonstrate a general and efficient synthesis of crystalline two-dimensional (2D) BECOF films composed of porphyrin macrocycles and phenyl or naphthyl linkers (named as 2D BECOF-PP or 2D BECOF-PN) by employing a surfactant-monolayer-assisted interfacial synthesis (SMAIS) on the water surface. The achieved 2D BECOF-PP is featured as free-standing thin film with large single-crystalline domains up to ≈60 μm and tunable thickness from 6 to 16 nm. A hybrid memory device composed of 2D BECOF-PP film on silicon nanowire-based field-effect transistor is demonstrated as a bio-inspired system to mimic neuronal synapses, displaying a learning-erasing-forgetting memory process.
尽管近年来在溶剂热法合成粉末状和在固-固表面合成技术合成硼酸酯共价有机框架(BECOFs)方面取得了进展,但由于薄膜加工和器件集成方面的挑战,如薄膜厚度、层取向、稳定性和结晶度的控制,它们在电子学中的应用仍较少被探索。此外,尽管粉末样品的结晶域尺寸可达微米级(最大约为 1.5μm),但迄今为止报道的薄膜样品的结晶域仍较小,最大为 100nm。在这里,我们通过在水表面上采用表面活性剂单层辅助界面合成(SMAIS),展示了一种由卟啉大环和苯基或萘基连接体组成的二维(2D)硼酸酯共价有机框架(2D BECOF-PP 或 2D BECOF-PN)的通用高效合成方法。所得到的 2D BECOF-PP 是一种具有独立薄膜特性的自由-standing 薄膜,具有最大约 60μm 的单晶畴和 6nm 至 16nm 的可调厚度。展示了一种基于硅纳米线场效应晶体管的 2D BECOF-PP 薄膜混合存储器件,作为仿生系统来模拟神经元突触,显示出学习-擦除-遗忘的记忆过程。