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13 results on '"Zhou, Hanfeng"'

4. General Design Concepts for CAPodes as Ionologic Devices

Author

Zhou, Hanfeng, primary, Li, Panlong, additional, Zhang, En, additional, Kunigkeit, Jonas, additional, Zhou, Xiongjun, additional, Haase, Katherina, additional, Rita Ortega Vega, Maria, additional, Wang, Shuwen, additional, Xu, Xiaosa, additional, Grothe, Julia, additional, Mannsfeld, Stefan C. B., additional, Brunner, Eike, additional, Kaneko, Katsumi, additional, and Kaskel, Stefan, additional

Published
2023
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6. Bioactive Ion‐Based Switchable Supercapacitors

Author

Li, Panlong, primary, Bräuniger, Yannik, additional, Kunigkeit, Jonas, additional, Zhou, Hanfeng, additional, Ortega Vega, Maria Rita, additional, Zhang, En, additional, Grothe, Julia, additional, Brunner, Eike, additional, and Kaskel, Stefan, additional

Published
2022
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8. An Improved Grasshopper Optimizer for Global Tasks

Author

Zhou, Hanfeng, Ding, Zewei, Peng, Hongxin, Tang, Zitao, Liang, Guoxi, Chen, Huiling, Ma, Chao, and Wang, Mingjing

Subjects
Article Subject
Abstract

The grasshopper optimization algorithm (GOA) is a metaheuristic algorithm that mathematically models and simulates the behavior of the grasshopper swarm. Based on its flexible, adaptive search system, the innovative algorithm has an excellent potential to resolve optimization problems. This paper introduces an enhanced GOA, which overcomes the deficiencies in convergence speed and precision of the initial GOA. The improved algorithm is named MOLGOA, which combines various optimization strategies. Firstly, a probabilistic mutation mechanism is introduced into the basic GOA, which makes full use of the strong searchability of Cauchy mutation and the diversity of genetic mutation. Then, the effective factors of grasshopper swarm are strengthened by an orthogonal learning mechanism to improve the convergence speed of the algorithm. Moreover, the application of probability in this paper greatly balances the advantages of each strategy and improves the comprehensive ability of the original GOA. Note that several representative benchmark functions are used to evaluate and validate the proposed MOLGOA. Experimental results demonstrate the superiority of MOLGOA over other well-known methods both on the unconstrained problems and constrained engineering design problems.

Published
2020
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13. In situcontrolled synthesis of porous Fe–N–C materials from oily sludge by chlorinating calcination and their novel application in supercapacitorsElectronic supplementary information (ESI) available. See DOI: 10.1039/d0en00892c

Author

Zhou, Hanfeng, Deng, Zhibo, Liu, Tianbao, Liu, Tao, Zhang, Lijuan, Su, Xintai, and Lin, Zhang

Abstract

The science linking thermochemical conversion of large-scale industry oily sludge with applied materials has been improved in the last ten years. However, with the traditional converting methods it is hard to precisely control the composition and structure of oily sludge-based products during pyrolysis due to the complexity of the composition of the oily sludge. Here, a chlorinating calcination method using sodium chloride (NaCl) as a chlorinating salt and template was first developed to prepare porous Fe–N–C materials (FCN-500) through pyrolysis of oily sludge containing iron-bearing minerals and pyridine. The formation mechanism of FCN-500 was proposed, where iron ions (Fe3+) from the inorganic component (anorthite) in the sludge were rapidly dissociated with the assistance of NaCl, followed by coordination with the organic component (pyridine nitrogen) in the oily sludge to form the pyridine nitrogen–iron ((C5H6N)n–Fe) complex, and then carbonization. As-obtained FCN-500 exhibited higher specific capacitance (286.3 F g−1at a current density of 0.5 A g−1), enhanced energy density (33.5 W h kg−1at a power density of 606.1 W kg−1) and more excellent stability and durability (more than 80.1% capacitance retention after 10 000 cycles) compared with two other electrodes. The reasonably better performance of the obtained FCN-500 in supercapacitors (SCs) is attributed to its large surface area, hierarchically porous channels, high conductivity, and unique Fe–N–C structure. Therefore, this work not only provides a feasible way to solve the bottleneck problem in sludge pyrolysis, but also provides a method to design large scale porous Fe–N–C materials for practical applications.

Published
2020
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