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Institution

Donghua University

EducationShanghai, China
About: Donghua University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Fiber & Nanofiber. The organization has 21155 authors who have published 21841 publications receiving 393091 citations. The organization is also known as: Dōnghuá Dàxué & China Textile University.
Topics: Fiber, Nanofiber, Membrane, Electrospinning, Catalysis


Papers
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Journal ArticleDOI
TL;DR: The reaction mechanism, the rate-determining steps, and the key factors that control the activity and selectivity are analyzed from both experimental and theoretical studies to develop a fundamental understanding of the CO2 RR-to-CO process on SACs.
Abstract: The electrochemical CO2 reduction reaction (CO2 RR) is of great importance to tackle the rising CO2 concentration in the atmosphere. The CO2 RR can be driven by renewable energy sources, producing precious chemicals and fuels, with the implementation of this process largely relying on the development of low-cost and efficient electrocatalysts. Recently, a range of heterogeneous and potentially low-cost single-atom catalysts (SACs) containing non-precious metals coordinated to earth-abundant elements have emerged as promising candidates for the CO2 RR. Unfortunately, the real catalytically active centers and the key factors that govern the catalytic performance of these SACs remain ambiguous. Here, this ambiguity is addressed by developing a fundamental understanding of the CO2 RR-to-CO process on SACs, as CO accounts for the major product from CO2 RR on SACs. The reaction mechanism, the rate-determining steps, and the key factors that control the activity and selectivity are analyzed from both experimental and theoretical studies. Then, the synthesis, characterization, and the CO2 RR performance of SACs are discussed. Finally, the challenges and future pathways are highlighted in the hope of guiding the design of the SACs to promote and understand the CO2 RR on SACs.

296 citations

Journal ArticleDOI
01 Apr 2006-Carbon
TL;DR: In this article, a new method was developed to disperse carbon nanotubes (CNTs) in a matrix polymer and then to prepare composites by melt processing technique, and the electrical conductivity and the rheological behavior of these composites were investigated.

296 citations

Journal ArticleDOI
TL;DR: In this paper, a reliable technique for calculating angular frequencies of nonlinear oscillators is developed, which offers a promising approach by constructing a Hamiltonian for the non-linear oscillator.

295 citations

Journal ArticleDOI
22 Nov 2017-Polymer
TL;DR: In this article, a two-layer reinforced carbon fiber (CF) was prepared by an electrochemical deposition and electrophoretic deposition (EPD) and the modified fiber showed an increased interfacial shear strength (IFSS) and tensile strength.

294 citations

Journal ArticleDOI
TL;DR: The trace variational identity is generalized to zero curvature equations associated with non-semi-simple Lie algebras or, equivalently, Lie algesbras possessing degenerate Killing forms as discussed by the authors.
Abstract: The trace variational identity is generalized to zero curvature equations associated with non-semi-simple Lie algebras or, equivalently, Lie algebras possessing degenerate Killing forms. An application of the resulting generalized variational identity to a class of semi-direct sums of Lie algebras in the AKNS case furnishes Hamiltonian and quasi-Hamiltonian structures of the associated integrable couplings. Three examples of integrable couplings for the AKNS hierarchy are presented: one Hamiltonian and two quasi-Hamiltonian.

289 citations


Authors

Showing all 21321 results

NameH-indexPapersCitations
Dongyuan Zhao160872106451
Xiang Zhang1541733117576
Seeram Ramakrishna147155299284
Kuo-Chen Chou14348757711
Shuai Liu129109580823
Chao Zhang127311984711
Tao Zhang123277283866
Zidong Wang12291450717
Xinchen Wang12034965072
Zhenyu Zhang118116764887
Benjamin S. Hsiao10860241071
Qian Wang108214865557
Jian Zhang107306469715
Yan Zhang107241057758
Richard B. Kaner10655766862
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202371
2022422
20212,466
20202,190
20192,003
20181,605