神经形态工程学
共价键
共价有机骨架
材料科学
化学
化学工程
纳米技术
计算机科学
有机化学
人工神经网络
人工智能
工程类
作者
Sang-Wook Park,Zhongquan Liao,Bergoi Ibarlucea,Haoyuan Qi,Hung‐Hsuan Lin,Daniel Becker,Jason Melidonie,Tao Zhang,Hafeesudeen Sahabudeen,Larysa Baraban,Chang‐Ki Baek,Zhikun Zheng,Ehrenfried Zschech,Andreas Fery,Thomas Heine,Ute Kaiser,Gianaurelio Cuniberti,Renhao Dong⧫,Xinliang Feng
标识
DOI:10.1002/anie.201916595
摘要
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 μm2 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.
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