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Institution

Wenzhou University

EducationWenzhou, China
About: Wenzhou University is a education organization based out in Wenzhou, China. It is known for research contribution in the topics: Catalysis & Aryl. The organization has 7478 authors who have published 7909 publications receiving 113431 citations.
Topics: Catalysis, Aryl, Population, Palladium, Phosphor


Papers
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Journal ArticleDOI
TL;DR: The statistical results and comparisons show that the HHO algorithm provides very promising and occasionally competitive results compared to well-established metaheuristic techniques.
Abstract: In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the cooperative behavior and chasing style of Harris’ hawks in nature called surprise pounce. In this intelligent strategy, several hawks cooperatively pounce a prey from different directions in an attempt to surprise it. Harris hawks can reveal a variety of chasing patterns based on the dynamic nature of scenarios and escaping patterns of the prey. This work mathematically mimics such dynamic patterns and behaviors to develop an optimization algorithm. The effectiveness of the proposed HHO optimizer is checked, through a comparison with other nature-inspired techniques, on 29 benchmark problems and several real-world engineering problems. The statistical results and comparisons show that the HHO algorithm provides very promising and occasionally competitive results compared to well-established metaheuristic techniques. Source codes of HHO are publicly available at http://www.alimirjalili.com/HHO.html and http://www.evo-ml.com/2019/03/02/hho .

2,871 citations

Journal ArticleDOI
24 Jan 2012-ACS Nano
TL;DR: The experimental results are believed to be significant because they not only give further insight into the ORR mechanism of these metal-free doped carbon materials, but also open a way to fabricate other new low-cost NPMCs with high electrocatalytic activity by a simple, economical, and scalable approach for real FC applications.
Abstract: Tailoring the electronic arrangement of graphene by doping is a practical strategy for producing significantly improved materials for the oxygen-reduction reaction (ORR) in fuel cells (FCs). Recent studies have proven that the carbon materials doped with the elements, which have the larger (N) or smaller (P, B) electronegative atoms than carbon such as N-doped carbon nanotubes (CNTs), P-doped graphite layers and B-doped CNTs, have also shown pronounced catalytic activity. Herein, we find that the graphenes doped with the elements, which have the similar electronegativity with carbon such as sulfur and selenium, can also exhibit better catalytic activity than the commercial Pt/C in alkaline media, indicating that these doped graphenes hold great potential for a substitute for Pt-based catalysts in FCs. The experimental results are believed to be significant because they not only give further insight into the ORR mechanism of these metal-free doped carbon materials, but also open a way to fabricate other ne...

1,884 citations

Journal ArticleDOI
TL;DR: It is proved that, with the proposed control scheme, each agent can follow the leader if the (acceleration) input of the active leader is known, and the tracking error is estimated if the input ofThe leader is unknown.
Abstract: In this paper, we consider a multi-agent consensus problem with an active leader and variable interconnection topology. The state of the considered leader not only keeps changing but also may not be measured. To track such a leader, a neighbor-based local controller together with a neighbor-based state-estimation rule is given for each autonomous agent. Then we prove that, with the proposed control scheme, each agent can follow the leader if the (acceleration) input of the active leader is known, and the tracking error is estimated if the input of the leader is unknown.

1,841 citations

Journal ArticleDOI
09 Jul 2020-Chem
TL;DR: In this article, the authors soberly reflect the charge transfer mechanism from many perspectives and are finally aware of the fundamental challenges they face to ensure a correct understanding, it is necessary to share their analysis with others Moreover, step-scheme heterojunctions, consisting of a reduction photocatalyst and an oxidizer with staggered band structure, are introduced to avoid misinterpretation.
Abstract: Summary The significance of photocatalysts is unquestionable, and scientists are devoted to improving their photocatalytic efficiency To solve the high recombination rates of photogenerated electron-hole pairs and their low reduction and oxidation abilities in a single photocatalyst, heterojunction manipulation is urgently required Two mainstream heterojunctions—type-II and Z-scheme heterojunctions—have been widely acknowledged However, we soberly reflect the charge-transfer mechanism from many perspectives and are finally aware of the fundamental challenges they face To ensure a correct understanding, it is necessary to share our analysis with others Moreover, step-scheme (S-scheme) heterojunctions, consisting of a reduction photocatalyst and an oxidation photocatalyst with staggered band structure, are introduced to avoid misinterpretation The differences in the charge-transfer mechanism between S-scheme, type-II, and Z-scheme heterojunctions are highlighted Finally, limitations and the future research direction of S-scheme photocatalysts are discussed

1,636 citations

Journal ArticleDOI
TL;DR: The proposed slime mould algorithm has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity.
Abstract: In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based on the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity. The proposed SMA is compared with up-to-date metaheuristics using an extensive set of benchmarks to verify its efficiency. Moreover, four classical engineering problems are utilized to estimate the efficacy of the algorithm in optimizing constrained problems. The results demonstrate that the proposed SMA benefits from competitive, often outstanding performance on different search landscapes. The source codes of SMA are publicly available at http://www.alimirjalili.com/SMA.html and https://tinyurl.com/Slime-mould-algorithm .

1,443 citations


Authors

Showing all 7557 results

NameH-indexPapersCitations
Yitai Qian108117550350
Y. Jiang10355345927
Tao Wang97272055280
Mark Lautens82154127372
Shulei Chou7632620426
Thomas J. Webster7565820324
Jongyoon Han7033219431
Feng Ding7038617312
Shaoming Huang6623516893
Jing Tang6621615896
Xiaokun Li6460915722
Jie Zheng6025813668
Huiling Chen5922310964
Saverio Bellusci5922212828
Wei Xiong5836410835
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202340
2022185
20211,191
2020856
2019674
2018546