scispace - formally typeset
Search or ask a question
Institution

Nanjing University of Science and Technology

EducationNanjing, China
About: Nanjing University of Science and Technology is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Control theory & Catalysis. The organization has 31581 authors who have published 36390 publications receiving 525474 citations. The organization is also known as: Nánjīng Lǐgōng Dàxué & Nánlǐgōng.


Papers
More filters
Journal ArticleDOI
TL;DR: Through combining the hollow mesoporous structure, high porosity, large surface area, and N heteroatomic functionality, the as-synthesized N-doped hollow-structured carbon nanospheres manifest excellent supercapacitor performance with high capacitance, favorable capacitance retention after 5000 cycles, and high energy density.
Abstract: We have demonstrated a facile and controllable synthesis of monodispersed N-doped hollow mesoporous carbon nanospheres (N-HMCSs) and yolk-shell hollow mesoporous carbon nanospheres (N-YSHMCSs) by a modified "silica-assisted" route. The synthesis process can be carried out by using resorcinol-formaldehyde resin as a carbon precursor, melamine as a nitrogen source, hexadecyl trimethylammonium chloride as a template, and silicate oligomers as structure-supporter. The morphological (i.e., particle size, shell thickness, cavity size, and core diameter) and textural features of the carbon nanospheres are easily controlled by varying the amount of ammonium. The resultant carbon nanospheres possess high surface areas (up to 2464 m(2) g(-1)), large pore volumes (up to 2.36 cm(3) g(-1)), and uniform mesopore size (∼2.4 nm for N-HMCSs, ∼ 4.5 nm for N-YSHMCSs). Through combining the hollow mesoporous structure, high porosity, large surface area, and N heteroatomic functionality, the as-synthesized N-doped hollow-structured carbon nanospheres manifest excellent supercapacitor performance with high capacitance (up to 240 F/g), favorable capacitance retention (97.0% capacitive retention after 5000 cycles), and high energy density (up to 11.1 Wh kg(-1)).

183 citations

Journal ArticleDOI
TL;DR: This paper studies the joint optimization of cost and makespan of scheduling workflows in IaaS clouds, and proposes a novel workflow scheduling scheme which closely integrates the fuzzy dominance sort mechanism with the list scheduling heuristic HEFT.

182 citations

Journal ArticleDOI
01 May 2019-Small
TL;DR: The ionogel nanocomposite-based strain sensor exhibits good reliability and excellent durability after 500 cycles, as well as a large gauge factor of 20 when it is stretched under a strain of 800-1400%.
Abstract: Fabricating a strain sensor that can detect large deformation over a curved object with a high sensitivity is crucial in wearable electronics, human/machine interfaces, and soft robotics. Herein, an ionogel nanocomposite is presented for this purpose. Tuning the composition of the ionogel nanocomposites allows the attainment of the best features, such as excellent self-healing (>95% healing efficiency), strong adhesion (347.3 N m-1 ), high stretchability (2000%), and more than ten times change in resistance under stretching. Furthermore, the ionogel nanocomposite-based sensor exhibits good reliability and excellent durability after 500 cycles, as well as a large gauge factor of 20 when it is stretched under a strain of 800-1400%. Moreover, the nanocomposite can self-heal under arduous conditions, such as a temperature as low as -20 °C and a temperature as high as 60 °C. All these merits are achieved mainly due to the integration of dynamic metal coordination bonds inside a loosely cross-linked network of ionogel nanocomposite doped with Fe3 O4 nanoparticles.

182 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of carbon fiber content on hardness and tribological properties of composite materials were studied with a Scanning Electron Microscope (SEM) and the results showed that the hardness and wear resistance of CF-reinforced UHMWPE composites increased with CF content.

182 citations

Journal ArticleDOI
TL;DR: In this paper, a 10% Mn/Fe-Ti spinel catalyst with an excellent N2 selectivity was developed for the selective catalytic reduction (SCR) of NO with NH3 at low temperatures.
Abstract: In this work, a novel 10% Mn/Fe–Ti spinel catalyst with an excellent N2 selectivity was developed for the selective catalytic reduction (SCR) of NO with NH3 at low temperatures. The mechanism of NO reduction and N2O formation over Fe–Ti spinel, 10% Mn/Fe–Ti spinel and 5% Mn–10% Fe/TiO2 was investigated using in situ DRIFT study and the transient reaction study. Meanwhile, the reaction kinetic constant of the SCR reaction (i.e., N2 formation) through the Eley–Rideal mechanism, the reaction kinetic constant of the SCR reaction through the Langmuir–Hinshelwood mechanism and the reaction kinetic constant of the non selective catalytic reduction (NSCR) reaction (i.e., N2O formation) were obtained according to the steady state kinetic study. They all indicate that the NSCR reaction over 10% Mn/Fe–Ti spinel through the Eley–Rideal mechanism was cut off. NH2 adsorbed on 10% Mn/Fe–Ti spinel can be hardly oxidized to NH as NH2 mainly adsorbed on the support (i.e., Fe–Ti spinel) of 10% Mn/Fe–Ti spinel, which was far away from Mn4+ cations on 10% Mn/Fe–Ti spinel. Therefore, the NSCR reaction over 10% Mn/Fe–Ti spinel through the Eley–Rideal mechanism was suppressed. However, the regeneration of Fe3+ on Fe–Ti spinel was accelerated due to the rapid electron transfer between Mn4+ and Fe2+ on 10% Mn/Fe–Ti spinel resulting in a remarkable promotion on NH3 activation although NH3 adsorbed on 10% Mn/Fe–Ti spinel cannot be directly activated by Mn4+ on 10% Mn/Fe–Ti spinel. Therefore, the SCR reaction over Fe–Ti spinel was promoted remarkably after the load of MnOx. As a result, 10% Mn/Fe–Ti spinel showed an excellent SCR performance especially N2 selectivity at low temperatures, which was much better than 5% Mn-10% Fe/TiO2 with the same chemical composition.

182 citations


Authors

Showing all 31818 results

NameH-indexPapersCitations
Jian Yang1421818111166
Liming Dai14178182937
Hui Li1352982105903
Jian Zhou128300791402
Shuicheng Yan12381066192
Zidong Wang12291450717
Xin Wang121150364930
Xuan Zhang119153065398
Zhenyu Zhang118116764887
Xin Li114277871389
Zeshui Xu11375248543
Xiaoming Li113193272445
Chunhai Fan11270251735
H. Vincent Poor109211667723
Qian Wang108214865557
Network Information
Related Institutions (5)
Harbin Institute of Technology
109.2K papers, 1.6M citations

96% related

South China University of Technology
69.4K papers, 1.2M citations

94% related

University of Science and Technology of China
101K papers, 2.4M citations

94% related

Tsinghua University
200.5K papers, 4.5M citations

93% related

Tianjin University
79.9K papers, 1.2M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023107
2022594
20214,309
20203,990
20193,920
20183,211