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您的检索式：作者名="Chuanyu Fu"
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| 1 | Halogen modified two-dimensional covalent triazine frameworks as visible-light driven photocatalysts for overall water splitting显示文摘The covalent triazine framework CTF-1 as a member of the two-dimensional covalent organic frameworks(COFs)is a category of novel metal-free photocatalysts for water splitting.The large band gap severely restricts its energy conversion efficiency.By means of the first-principles calculations,we proposed the decoration of CTF-1 by anchoring halogen atoms onto benzene moieties for improving the solar-to-hydrogen(STH)efficiency.The electronic structures reveal that the halogen substitution successfully decreases the band gap of CTF-1.Meanwhile,the calculated free energy changes along the reaction pathway indicate that all these COFs can spontaneously drive overall water splitting under light irradiation in a specific acid-base environment.The time-dependent ab initio non-adiabatic molecular dynamics simulations suggest that the electron-hole recombination periods of these COFs fall in a few to tens of nanoseconds.Excitingly,CTF-1 modified by linking six iodine atoms onto the benzene ring in the para-position(CTF-1-6I)shows a quite low band gap of 2.81 eV,indicating that it is a visible-light driven COF for overall photocatalytic water splitting.Correspondingly,CTF-1-6I also exhibits an extraordinarily promising STH efficiency of 3.70%,which is an order magnitude higher than that of the pristine CTF-1. | Cen-Feng Fu Chuanyu Zhao Qijing Zheng Xingxing Li Jin Zhao Jinlong Yang | 2020 | Science China Chemistry2020，63，8： | 1 |
| 2 | CMOS-compatible neuromorphic devices for neuromorphic perception and computing: a review显示文摘Neuromorphic computing is a brain-inspired computing paradigm that aims to construct efficient,low-power,and adaptive computing systems by emulating the information processing mechanisms of biological neural systems.At the core of neuromorphic computing are neuromorphic devices that mimic the functions and dynamics of neurons and synapses,enabling the hardware implementation of artificial neural networks.Various types of neuromorphic devices have been proposed based on different physical mechanisms such as resistive switching devices and electric-double-layer transistors.These devices have demonstrated a range of neuromorphic functions such as multistate storage,spike-timing-dependent plasticity,dynamic filtering,etc.To achieve high performance neuromorphic computing systems,it is essential to fabricate neuromorphic devices compatible with the complementary metal oxide semiconductor(CMOS)manufacturing process.This improves the device’s reliability and stability and is favorable for achieving neuromorphic chips with higher integration density and low power consumption.This review summarizes CMOS-compatible neuromorphic devices and discusses their emulation of synaptic and neuronal functions as well as their applications in neuromorphic perception and computing.We highlight challenges and opportunities for further development of CMOS-compatible neuromorphic devices and systems. | Yixin Zhu Huiwu Mao Ying Zhu Xiangjing Wang Chuanyu Fu Shuo Ke Changjin Wan Qing Wan | 2023 | International Journal of Extreme Manufacturing2023，5，4： | 0 |
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