4.5 Article

N,P Dual-Doped Hierarchically Porous Carbon Derived from a Polyelectrolyte Complex as High-Performance Electrodes for Supercapacitors

Journal

ENERGY TECHNOLOGY
Volume 7, Issue 3, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/ente.201800641

Keywords

chitosan; heteroatom-doped hierarchically porous carbon; polyphosphoric acid; supercapacitors

Categories

Funding

  1. National Natural Science Foundation of China [21603054]
  2. Natural Science Foundation of Hebei Province [B2015204003, B2016204131]
  3. Young Top-notch Talents Foundation of Hebei Provincial Universities [BJ2016027]
  4. Natural Science Foundation of Hebei Agricultural University [ZD201506, ZD201613]

Ask authors/readers for more resources

Both the surface composition and the pore texture of electrode materials have a significant effect on their electrochemical performances. Herein, a new type of nitrogen and phosphorus dual-doped hierarchically porous carbon (NP-HPC), fabricated by simultaneous pyrolysis and activation of the polyelectrolyte complex with chitosan and polyphosphoric acid as the precursor, is demonstrated. The NP-HPC has a hierarchically interconnected porous structure, high surface area (2933 m(2) g(-1)), and doping of heteroatoms. Due to its unique features, the optimal NP-HPC-800 demonstrates a high specific capacitance (289 F g(-1) at 0.5 A g(-1)), excellent rate performance (238 F g(-1) at 10 A g(-1)), and superior cycling stability (96% retention after 5000 cycles at 5 A g(-1)) in 6 mol L-1 of KOH. Furthermore, NP-HPC-800 shows an excellent energy density of 22.5 Wh kg(-1) at a power density of 183.3 W kg(-1). The low-cost and facile fabrication process provides a feasible approach to prepare heteroatom-doped carbon materials from a biomass precursor for energy-related applications.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Artificial Intelligence

RST-Net: a spatio-temporal residual network based on Region-reConStruction algorithm for shared bike prediction

Yanyan Tan, Bin Wang, Zeyuan Yan, Haoran Liu, Huaxiang Zhang

Summary: This paper proposes a deep spatio-temporal residual network model based on Region-reConStruction algorithm to predict the usage of shared bikes in the bike-sharing system. Experiments show that the prediction accuracy of our model is significantly better than that of previous models.

COMPLEX & INTELLIGENT SYSTEMS (2023)

Article Chemistry, Physical

Fabricating ion-conducting channel in SU-8 matrix for high-performance patternable polymer electrolytes

Tianzhao Li, Xuelei Pan, Zhongzhuo Yang, Fang Liu, Kesong Yu, Lin Xu, Liqiang Mai

Summary: In this study, a patternable lithium-ion polymer electrolyte was successfully prepared by modifying SU-8 material. The modified sample exhibited higher ionic conductivity, good thermal stability, and mechanical properties, as well as a larger electrochemical window. Through the fabrication and testing of half-cell and microdevices, the feasibility of integrating batteries on microchips was verified.

NANO RESEARCH (2023)

Letter Critical Care Medicine

Positive- and Negative-Pressure Ventilation Characterized by Local and Global Pulmonary Mechanics

Shoujin Dong, Wenting Lu, Yongsheng Wang

AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2023)

Review Oncology

Ultrasound-targeted microbubble destruction remodels tumour microenvironment to improve immunotherapeutic effect

Senbo Liu, Yan Zhang, Yang Liu, Wenkang Wang, Shuochen Gao, Weitang Yuan, Zhenqiang Sun, Lin Liu, Chengzeng Wang

Summary: Cancer immunotherapy has made promising progress, but its therapeutic efficacy needs to be improved. Ultrasound-targeted microbubble destruction is an emerging technology that can remodel the tumor microenvironment and enhance the effectiveness of immunotherapy.

BRITISH JOURNAL OF CANCER (2023)

Article Chemistry, Multidisciplinary

Radical Decarboxylative Cyanomethylation of Aliphatic Carboxylic Acids and Uronic Acids via Vinyl Azide Cascade Fragmentation

Linhua Xu, Qishuai Li, Dongwei Li, Xin Zhou, Ni Song, Peng Wang, Ming Li

Summary: A direct oxidative radical decarboxylative cyanomethylation of carboxylic acids using 3-azido-2-methylbut-3-en-2-ol as the carbon-centered radical acceptor is described. The method is applicable to various α-amino acids, α-oxy acids, α-keto acids, pentofuranuronic acids, and hexopyranuronic acids. Mechanistic investigations suggest the involvement of a radical process. This work provides a potential approach to synthesize biologically relevant β-amino acids, 5-deoxy-hexofuranose, and 6-deoxy-heptose constructs.

CHINESE JOURNAL OF CHEMISTRY (2023)

Article Chemistry, Multidisciplinary

Wood-inspired high-efficiency bioreactors with hierarchical porous structures for continuous flow reactions

Yu-Shi Shen, Xing Zhou, Shuai You, Lu-Chan Gong, Jun Wang, Tao Chen, Wei-Guo Zhao, Xiao-Hui Yao, Dong-Yang Zhang

Summary: Inspired by the structure of natural wood, a cellulose-based bionic microfluidic biocatalytic reactor was developed for the continuous fluid catalytic conversion of polydatin to resveratrol. The reactor, with vertically aligned channels and a porous inner wall, showed high catalytic activity (98.69% treatment efficiency) and excellent stability (maintain a conversion rate of more than 90% within 15 days) due to the unidirectionally aligned channels and porous inner wall. The reactor has great potential for simplifying industrial production and has broad application prospects for catalytic reactions.

GREEN CHEMISTRY (2023)

Article Biotechnology & Applied Microbiology

AnAzf1 acts as a positive regulator of ochratoxin A biosynthesis in Aspergillus niger

Shan Wei, Chaojiang Hu, Yige Zhang, Yangyong Lv, Shuaibing Zhang, Huanchen Zhai, Yuansen Hu

Summary: Aspergillus niger produces ochratoxin A (OTA), which is genotoxic and carcinogenic. In this study, a gene encoding the transcription factor Azf1 was deleted in A. niger, resulting in complete blockage of OTA production. The deletion of Azf1 also led to decreased levels of reactive oxygen species (ROS) and impaired oxidative phosphorylation, which ultimately prevented OTA biosynthesis.

APPLIED MICROBIOLOGY AND BIOTECHNOLOGY (2023)

Article Engineering, Electrical & Electronic

A Multifunctional Array System Based on Adjustable-Phase Antenna for Wireless Communications

Guangwei Yang, Qiao Cheng, Jianying Li, Shuai Zhang, Steven Gao, Xiaodong Chen

Summary: In this work, an innovative method is investigated to control the current distribution of the radiating patch by adjusting the input phase, resulting in both pattern and polarization reconfigurable characteristics. A compact and low-profile antenna with four fed ports is designed to implement this method, allowing for linear, RHCP, and LHCP polarization with different beam directions. A passive planar array is also designed and fabricated based on this antenna element, which can scan a coverage of +/- 70 degrees with low gain fluctuation and low sidelobe. The proposed antenna is a good solution for wireless communication systems due to its simple configuration, multifunction, and beamforming capability.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION (2023)

Article Chemistry, Multidisciplinary

Boosting Polyethylene Hydrogenolysis Performance of Ru-CeO2 Catalysts by Finely Regulating the Ru Sizes

Hongyan Ji, Xiao Wang, Xiaoxu Wei, Yuxuan Peng, Shuaishuai Zhang, Shuyan Song, Hongjie Zhang

Summary: Hydrogenolysis is an effective method for converting polyolefins into high-value chemicals. In this study, the activity of CeO2-supported Ru single atoms, nanoclusters, and nanoparticles in LDPE hydrogenolysis showed a volcanic trend. Metal-support interactions and hydrogen spillover effect were identified as the two key factors in the reaction. Only when the balance between these two effects is achieved, as in CeO2-supported Ru nanoclusters, can the hydrogenolysis activity be promoted.

SMALL (2023)

Article Energy & Fuels

A hybrid data-driven machine learning framework for predicting the performance of coal and biomass gasification processes

Qingchun Yang, Jinliang Zhang, Jianlong Zhou, Lei Zhao, Dawei Zhang

Summary: Gasification technology can effectively improve the utilization efficiency of coal and biomass resources. This study developed a hybrid data-driven machine learning framework for predicting the performance of coal and biomass gasification processes. The artificial neural network (ANN) model showed the best prediction performance with a coefficient of determination of 0.9242. The optimized ANN model, achieved through investigations into the number of hidden layers and neurons, and the application of a genetic algorithm, demonstrated improved prediction accuracy.
Article Engineering, Electrical & Electronic

A 100-180-GHz Coaxial Frequency Tripler Based on Copper Additive Manufacturing

Xiaozhu Wen, Haodong Yang, Zixian Wu, Yang Yu, Guanghua Shi, Zhen Wang, Xubo Song, Shixiong Liang, Guodong Gu, Yuanjie Lv, Zhihong Feng, Yu Zheng, Anxue Zhang, Cheng Guo

Summary: This article presents a wideband coaxial D-band frequency tripler fabricated by copper additive manufacturing (AM). The tripler consists of waveguide-coaxial transitions, a coaxial low-pass filter, a Schottky diode chip, and an output impedance matching network. The diode chip is specially designed for thermal performance and power handling. Measurements show the tripler's output power, bandwidth, and return loss performance.

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES (2023)

Article Materials Science, Multidisciplinary

Breaking the strength-ductility trade-off in additively manufactured aluminum alloys through grain structure control by duplex nucleation

Jinliang Zhang, Jianbao Gao, Shenglan Yang, Bo Song, Lijun Zhang, Jian Lu, Yusheng Shi

Summary: This paper proposes a novel duplex nucleation mechanism to control the grain structure of additively manufactured AlCuMgTi-TiB2 composites for achieving a homogeneous equiaxed grain structure and breaking the strength-ductility trade-off. The results show that the proposed alloy design approach and duplex nucleation mechanism can guide the tailoring of the microstructure and mechanical properties of additively manufactured aluminum parts.

JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY (2023)

Article Engineering, Electrical & Electronic

Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data

Mohsen Ghanbari, Linlin Xu, David A. Clausi

Summary: A land cover classification method is proposed based on the statistical characteristics of CP and QP SAR data. Spatial information is utilized by capturing the local dependency among pixels and the global dependency among superpixels. The method achieves higher classification accuracy than methods without exploiting global spatial dependency.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2023)

Article Medicine, General & Internal

Expression and Clinical Significance of MDM2 in Non-Functioning PitNETs

Xiaohui Yao, Qian Liu, Sida Zhao, Rui Cheng, Chunhui Liu, Gangli Zhang

Summary: In this study, the expression levels and role of MDM2 in non-functioning PitNET patients were measured, and the effect of etoposide on the cell bioactivity of the GT1-1 cell line was investigated. The results showed that patients with high MDM2 had more invasive behavior, were younger, more frequently female, and had larger tumor sizes. MDM2 played a role in tumorigenesis of NF-PitNET independently of p53, and etoposide showed anti-tumor activity in GT1-1 cells.

MEDICINA-LITHUANIA (2023)

Article Chemistry, Physical

Electrocatalytic enhancement mechanism of cobalt single atoms anchored on different MXene substrates in oxygen and hydrogen evolution reactions

Xin Zhao, Xuerong Zheng, Qi Lu, Ying Li, Fengping Xiao, Bing Tang, Shixun Wang, Denis Y. W. Yu, Andrey L. Rogach

Summary: Decorating single atoms of transition metals on MXenes enhances the electrocatalytic properties of the resulting composites. In this study, cobalt single atoms were anchored onto several commonly used MXene substrates, and the electrocatalytic behavior and mechanisms were systematically studied. The Co@V2CTx composite showed lower overpotentials for oxygen and hydrogen evolution reactions compared to other composites, making it comparable to commercial noble metal electrocatalysts. The enhanced catalytic performance of Co@V2CTx was attributed to optimized electronic structure and accelerated catalytic kinetics. This study sheds light on the origins and guidelines for designing efficient MXene-based electrocatalysts.

ECOMAT (2023)

No Data Available