纳米科学和纳米技术中具有特殊意义的快速报告之家

Nanoscale Horizons is a significant rapid communication journal focused on the field of nanoscience and nanotechnology, aimed at providing researchers with an efficient platform to share impactful research findings.

Nanoscale Horizons 是一个专注于纳米科学和纳米技术领域的重要快速报告期刊，旨在为研究者提供一个高效的平台，以分享具有特殊意义的研究成果。

Nanoscale Horizons

The stability of AgNW FTEs was improved using biorenewable thin films composed of chitin and cellulose nanofibers. Our eco-friendly strategy also improved their performance as transparent heaters and pressure sensors.

Yoo-Bin Kwon

Seongwon Cho

Dal-Hee Min

Young-Kwan Kim

Durable silver nanowire transparent electrodes enabled by biorenewable nanocoating using chitin and cellulose nanofibers for flexible electronics

This review unravels the interaction of PC and PEC water splitting with interfacial ferroelectric polarization.

Yi Li

Jun Li

Weiguang Yang

Xudong Wang

Nanoscale Horiz.

Implementation of ferroelectric materials in photocatalytic and photoelectrochemical water splitting

铁电材料在光催化及光电化学水分解中的应用

High-entropy alloys and compounds have emerged as an attractive research area in part because of their distinctive solid-solution structure and multi-element compositions that provide near-limitless tailorability. A diverse array of...

Chuyi Ni

Kevin M O'Connor

Cole Butler

Jonathan G C Veinot

Synthesis of high-entropy germanides and investigation of their formation process

高熵锗化物的合成及其形成过程的研究

The dynamic covalent properties of graphene oxide (GO) are of fundamental interest to a broad range of scientific areas and technological applications. It remains a challenge to access the feasible dynamic reactions for reversibly breaking/reforming covalent bonds of oxygen functional groups on GO, although these reactions can be induced by photonic or mechanical routes, or mediated by adsorbed water. Here, using the density functional theory calculations, we demonstrate the remarkably enhanced dynamic oxygen migration along the basal plane of GO supported by copper substrate (GO@copper), with the C-O bond breaking reaction and proton transfer between the neighboring epoxy and hydroxyl groups. Compared to that on GO, the energy barrier of oxygen migration on GO@copper is sharply reduced to be less than or comparable to thermal fluctuations, and meanwhile the crystallographic match between GO and copper substrate induces new oxygen migration paths on GO@copper. This work sheds light on the understanding of metal substrate-enhanced dynamic properties of GO, and evidences the strategy to tune the activity of two-dimension-interfacial oxygen groups for various potential applications.

Zihan Yan

Wenjie Yang

Hao Yang

Chengao Ji

Shuming Zeng

Xiuyun Zhang

Liang Zhao

Yusong Tu

Remarkably enhanced dynamic oxygen migration on graphene oxide supported by copper substrate

铜基底支撑的氧化石墨烯上显著增强的动态氧迁移

Memristors are two-terminal memory devices that can change the conductance state and store analog values. Thanks to their simple structure, suitability for high-density integration, and non-volatile characteristics, memristors have been intensively studied as synapses in artificial neural network systems. Memristive synapses in neural networks have theoretically better energy efficiency compared with conventional von Neumann computing processors. However, memristor crossbar array-based neural networks usually suffer from low accuracy because of the non-ideal factors of memristors such as non-linearity and asymmetry, which prevent weights from being programmed to their targeted values. In this article, the improvement in linearity and symmetry of pulse update of a fully CMOS-compatible HfO2-based memristor is discussed, by using a second-order memristor effect with a heating pulse and a voltage divider composed of a series resistor and two diodes. We also demonstrate that the improved device characteristics enable energy-efficient and fast training of a memristor crossbar array-based neural network with high accuracy through a realistic model-based simulation. By improving the memristor device's linearity and symmetry, our results open up the possibility of a trainable memristor crossbar array-based neural network system that possesses great energy efficiency, high area efficiency, and high accuracy at the same time.

See-On Park

Taehoon Park

Hakcheon Jeong

Seokman Hong

Seokho Seo

Yunah Kwon

Jongwon Lee

Shinhyun Choi

Linear conductance update improvement of CMOS-compatible second-order memristors for fast and energy-efficient training of a neural network using a memristor crossbar array

CMOS兼容二阶忆阻器的线性电导更新改进及其在忆阻器交叉阵列中用于快速高效神经网络训练的应用

We have investigated the effect of the uniaxial strain on the electrical properties of few-layer ZrSe 3 devices under compressive and tensile strain, applied up to ± 0.62 % along different...

Borna Radatović

Hao Li

Roberto D'Agosta

Andres Castellanos-Gomez

Giant anisotropic piezoresponse of layered ZrSe3

层状ZrSe3的巨大各向异性压电响应

Ribosomes are the most essential macromolecules in cells, as they serve as production lines for every single protein. Here, we address the demand to study ribosomes in living human cells...

Aneta Magiera

Karolina Kucharska

Tomasz Kalwarczyk

Patrycja Haniewicz

Karina Kwapiszewska

Robert Holyst

Measurement of large ribosomal subunit size in cytoplasm and nucleus of living human cells

活体人细胞胞质和核内大核糖体亚基大小的测量

Realizing plasmonic nanogaps with a refractive index (n = 1) environment in metallic nanoparticle (NP) structures are highly attractive for wide range of applications. So far in self-assembly-based approaches, without...

Vasanthan Devaraj

Isaac Azahel Ruiz Alvarado

Jong-Min Lee

Jin-Woo Oh

Uwe Gerstmann

Wolf Schmidt

Thomas Zentgraf

Self-assembly of Isolated Plasmonic Dimers with Sub – 5 nm Gaps on a Metallic Mirror

金属镜面上亚5纳米间隙孤立等离子体二聚体的自组装

Artificial neuronal devices that emulate the dynamics of biological neurons are pivotal for advancing brain emulation and developing bio-inspired electronic systems. This paper presents the design and demonstration of an...

Pei-Lin Lin

Zih-Siao Liao

Shuai-Ming Chen

Jen-Sue Chen

Achieving Neuronal Dynamics with Spike Encoding and Spatial-Temporal Summation in Vanadium-based Threshold Switching Memristor for Asynchronous Signal Integration

实现基于钒的阈值开关忆阻器的异步信号集成中的脉冲编码与时空求和的神经元动力学

This review analyzes the latest advances in the field of design of single atom catalysts (SACs) for various industrially relevant organic transformation reactions along with the challenges in the field and their possible counter measures.

Devendra Sharma

Devanshu Sajwan

Shubhankar Mishra

Ashrumochan Gouda

Prerna Mittal

Priyanka Choudhary

Bhagyashree Priyadarshini Mishra

Sahil Kumar

Venkata Krishnan

Tailoring catalysis at the atomic level: trends and breakthroughs in single atom catalysts for organic transformation reactions

原子尺度催化调控：有机转化反应中单原子催化剂的趋势与突破

Abbreviation	Nanoscale Horiz.
Journal Impact	8.00
Quartiles(Global)	NANOSCIENCE & NANOTECHNOLOGY(Q1)

ISSN	2055-6756, 2055-6764
h-index	74

Publication Information	Publisher: Royal Society of Chemistry，Publishing cycle: ，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2016，Proportion of original research papers: 77.69%，Self Citation Rate:0.00%， Gold OA Rate: 21.90%

Nanoscale Horizons

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