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Institution

Harbin Institute of Technology

EducationHarbin, China
About: Harbin Institute of Technology is a education organization based out in Harbin, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 88259 authors who have published 109297 publications receiving 1603393 citations. The organization is also known as: HIT.


Papers
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Journal ArticleDOI
TL;DR: Hierarchical tetragonal microtubes consisting of ultrathin mesoporous NiCo2O4 nanosheets have been obtained by annealing nickel cobalt layered double hydroxide microTubes which are synthesized by a one-step solvothermal method as discussed by the authors.
Abstract: Hierarchical tetragonal microtubes consisting of ultrathin mesoporous NiCo2O4 nanosheets have been obtained by annealing nickel cobalt layered double hydroxide microtubes which are synthesized by a one-step solvothermal method. Benefiting from the unique structural features, these hierarchical NiCo2O4 microtubes manifest an excellent electrochemical performance in terms of high specific capacitance and remarkable cycle life as a battery-type electrode for hybrid supercapacitors.

394 citations

Proceedings ArticleDOI
Matej Kristan1, Amanda Berg2, Linyu Zheng3, Litu Rout4  +176 moreInstitutions (43)
01 Oct 2019
TL;DR: The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative; results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Abstract: The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOTST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" shortterm tracking in RGB, (iii) VOT-LT2019 focused on longterm tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard shortterm, long-term tracking and tracking with multi-channel imagery. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website.

393 citations

Yanju Liu, Haibao Lv, Xin Lan, Jinsong Leng1, Shanyi Du 
01 Jan 2009
TL;DR: In this paper, the progress of electro-activate SMP composites is discussed and the filler types that affect the conductive properties of these composites are discussed, and the mechanisms of electric conduction are addressed.
Abstract: Shape-memory polymers (SMPs) have been one of the most popular subjects under intensive investigation in recent years, due to their many novel properties and great potential. These so-called SMPs by far surpass shape-memory alloys and shape-memory ceramics in many properties, e.g., easy manufacture, programming, high shape recovery ratio and low cost, and so on. However, they have not fully reached their technological potential, largely due to that the actuation of shape recovery in thermal-responsive SMPs is normally only driven by external heat. Thus, electro-activate SMP has been figured out and its significance is increasing in years to come. This review focuses on the progress of electro-activate SMP composites. Special emphases are given on the filler types that affect the conductive properties of these composites. Then, the mechanisms of electric conduction are addressed.

393 citations

Journal ArticleDOI
28 Mar 2018-ACS Nano
TL;DR: A high-performance, waterproof, tailorable, and stretchable yarn zinc ion battery using double-helix yarn electrodes and a cross-linked polyacrylamide (PAM) electrolyte, which demonstrates superior knittability, good stretchability, and superior waterproof capability.
Abstract: Emerging research toward next-generation flexible and wearable electronics has stimulated the efforts to build highly wearable, durable, and deformable energy devices with excellent electrochemical performances. Here, we develop a high-performance, waterproof, tailorable, and stretchable yarn zinc ion battery (ZIB) using double-helix yarn electrodes and a cross-linked polyacrylamide (PAM) electrolyte. Due to the high ionic conductivity of the PAM electrolyte and helix structured electrodes, the yarn ZIB delivers a high specific capacity and volumetric energy density (302.1 mAh g–1 and 53.8 mWh cm–3, respectively) as well as excellent cycling stability (98.5% capacity retention after 500 cycles). More importantly, the quasi-solid-state yarn ZIB also demonstrates superior knittability, good stretchability (up to 300% strain), and superior waterproof capability (high capacity retention of 96.5% after 12 h underwater operation). In addition, the long yarn ZIB can be tailored into short ones, and each part sti...

391 citations

Journal ArticleDOI
TL;DR: In this article, a microwave-induced activation process using phosphoric acid as the activating agent was used to obtain a carbon surface with a surface area of 1432 m 2 /g and a carbon yield of 48%.

391 citations


Authors

Showing all 89023 results

NameH-indexPapersCitations
Jiaguo Yu178730113300
Lei Jiang1702244135205
Gang Chen1673372149819
Xiang Zhang1541733117576
Hui-Ming Cheng147880111921
Yi Yang143245692268
Bruce E. Logan14059177351
Bin Liu138218187085
Peng Shi137137165195
Hui Li1352982105903
Lei Zhang135224099365
Jie Liu131153168891
Lei Zhang130231286950
Zhen Li127171271351
Kurunthachalam Kannan12682059886
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023383
20221,895
202110,083
20209,817
20199,659
20188,215