scispace - formally typeset
Search or ask a question
Institution

Hong Kong Polytechnic University

EducationHong Kong, China
About: Hong Kong Polytechnic University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Computer science & Tourism. The organization has 29633 authors who have published 72136 publications receiving 1956312 citations. The organization is also known as: HKPU & PolyU.


Papers
More filters
Journal ArticleDOI
01 Aug 2018
TL;DR: It is shown that multilayer hexagonal boron nitride (h-BN) can be used as a resistive switching medium to fabricate high-performance electronic synapses, enabling the emulation of a range of synaptic-like behaviour, including both short- and long-term plasticity.
Abstract: Neuromorphic computing systems, which use electronic synapses and neurons, could overcome the energy and throughput limitations of today’s computing architectures. However, electronic devices that can accurately emulate the short- and long-term plasticity learning rules of biological synapses remain limited. Here, we show that multilayer hexagonal boron nitride (h-BN) can be used as a resistive switching medium to fabricate high-performance electronic synapses. The devices can operate in a volatile or non-volatile regime, enabling the emulation of a range of synaptic-like behaviour, including both short- and long-term plasticity. The behaviour results from a resistive switching mechanism in the h-BN stack, based on the generation of boron vacancies that can be filled by metallic ions from the adjacent electrodes. The power consumption in standby and per transition can reach as low as 0.1 fW and 600 pW, respectively, and with switching times reaching less than 10 ns, demonstrating their potential for use in energy-efficient brain-like computing. Vertically structured electronic synapses, which exhibit both short- and long-term plasticity, can be created using layered two-dimensional hexagonal boron nitride.

420 citations

Journal ArticleDOI
TL;DR: Platinum disulfide (PtS2), a new member of the group-10 transition-metal dichalcogenides, is studied experimentally and theoretically and can be explained by strongly interlayer interaction from the pz orbital hybridization of S atoms.
Abstract: Platinum disulfide (PtS2 ), a new member of the group-10 transition-metal dichalcogenides, is studied experimentally and theoretically. The indirect bandgap of PtS2 can be drastically tuned from 1.6 eV (monolayer) to 0.25 eV (bulk counterpart), and the interlayer mechanical coupling is almost isotropic. It can be explained by strongly interlayer interaction from the pz orbital hybridization of S atoms.

419 citations

Journal ArticleDOI
TL;DR: This paper presents a method to remove hairs from an image using a pre-processing program, called DullRazor, that enables the segmentation program to achieve satisfactory results.

419 citations

Journal ArticleDOI
TL;DR: It is analytically show that delivery lead time strongly influences the manufacturer's and the retailer's pricing strategies and profits, and the difference between the demand transfer ratios in the two channels with respect to delivery leadTime and direct sale price, customer acceptance of the direct channel, and product type have great effects on the lead time and pricing decisions.

419 citations

Journal ArticleDOI
TL;DR: The experimental results indicate that the classification accuracy is increased significantly under parallel feature fusion and also demonstrate that the developed parallel fusion is more effective than the classical serial feature fusion.

418 citations


Authors

Showing all 30115 results

NameH-indexPapersCitations
Jing Wang1844046202769
Xiang Zhang1541733117576
Wei Zheng1511929120209
Rui Zhang1512625107917
Jian Yang1421818111166
Joseph Lau140104899305
Yu Huang136149289209
Dacheng Tao133136268263
Chuan He13058466438
Lei Zhang130231286950
Ming-Hsuan Yang12763575091
Chao Zhang127311984711
Yuri S. Kivshar126184579415
Bin Wang126222674364
Chi-Ming Che121130562800
Network Information
Related Institutions (5)
Nanyang Technological University
112.8K papers, 3.2M citations

93% related

National University of Singapore
165.4K papers, 5.4M citations

93% related

University of Hong Kong
99.1K papers, 3.2M citations

92% related

Tsinghua University
200.5K papers, 4.5M citations

91% related

University of Waterloo
93.9K papers, 2.9M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023229
2022971
20216,745
20206,207
20195,288