The preparation of 3D network pore structure activated carbon as an electrode material for supercapacitors with long-term cycle stability

RSC Advances ◽  
2016 ◽  
Vol 6 (62) ◽  
pp. 57075-57083 ◽  
Author(s):  
Changyu Leng ◽  
Kang Sun
Keyword(s):  
Activated Carbon ◽  
Water Vapor ◽  
Electrochemical Properties ◽  
Network Structure ◽  
Electrode Material ◽  
Three Dimensional ◽  
Cycle Stability ◽  
Interconnected Network ◽  
3D Network

ZnCl2, KOH and water vapor were used as activated reagents to obtain the expected activated carbon that has a three-dimensional (3D) interconnected network structure and good electrochemical properties as carbon-based electrodes.

Hierarchical NiCo2O4 nanosheets@hollow microrod arrays for high-performance asymmetric supercapacitors

2014 ◽  
Vol 2 (13) ◽  
pp. 4706-4713 ◽  
Author(s):  
Xue-Feng Lu ◽  
Dong-Jun Wu ◽  
Run-Zhi Li ◽  
Qi Li ◽  
Sheng-Hua Ye ◽  
...  
Keyword(s):  
Electrochemical Properties ◽  
Thermal Annealing ◽  
High Performance ◽  
Cycle Stability ◽  
Asymmetric Supercapacitors ◽  
Environmental Friendly ◽  
Nico2o4 Nanosheets

Novel NiCo2O4 NSs@HNRAs are fabricated via a simple and environmental friendly template-assisted electrodeposition followed by thermal annealing and they exhibit predominant electrochemical properties and long-term cycle stability.

Three-dimensional Co3O4@C@Ni3S2 sandwich-structured nanoneedle arrays: towards high-performance flexible all-solid-state asymmetric supercapacitors

2015 ◽  
Vol 3 (31) ◽  
pp. 16150-16161 ◽  
Author(s):  
Dezhi Kong ◽  
Chuanwei Cheng ◽  
Ye Wang ◽  
Jen It Wong ◽  
Yaping Yang ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Solid State ◽  
High Performance ◽  
Three Dimensional ◽  
Negative Electrode ◽  
High Energy ◽  
High Energy Density ◽  
Asymmetric Supercapacitor ◽  
Cycle Stability ◽  
Asymmetric Supercapacitors

A novel asymmetric supercapacitor composed of Co3O4@C@Ni3S2 NNAs as the positive electrode and activated carbon (AC) as the negative electrode can deliver a high energy density and excellent long cycle stability.

scholarly journals Human Colorectal Cancer Infrastructure Constructed by the Glycocalyx

2019 ◽  
Vol 8 (9) ◽  
pp. 1270 ◽  
Author(s):  
Masahito Tachi ◽  
Hideshi Okada ◽  
Nobuhisa Matsuhashi ◽  
Genzou Takemura ◽  
Kodai Suzuki ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Cells ◽  
Network Structure ◽  
Vasculogenic Mimicry ◽  
Three Dimensional ◽  
Human Colorectal Cancer ◽  
Structural Shape ◽  
Preparation Methods ◽  
3D Network ◽  
Tunnel Channel

Cancer cells can survive and grow via angiogenesis. An alternative but controversial theory is cancer cells may grow via vasculogenic mimicry (VM), in which the cancer cells themselves construct vessel-like channels that are considered a leading cause of drug resistance. The dynamic functions of the glycocalyx (GCX), a meshwork composed of proteoglycans and glycoproteins that surrounds cell membranes, have been observed in endothelial cells within tumors. However, the actual structural shape formed by the GCX in human patients remains unclear. Here, we visualized the three-dimensional (3D) network structure constructed by bulky GCX in human colorectal cancer (CRC) patients using scanning electron microscopy with lanthanum nitrate staining. The network structure extended throughout the cancer cell nest, opening into capillaries, with a tunnel channel that exhibited a net- and spongy-like ultrastructure. The expression of endothelial and cancer-specific GCX-binding lectins was dramatically increased in the interstitial spaces between cancer cells. Even accounting for the presence of artifacts resulting from sample preparation methods, the intercellular tunnels appeared to be coated with the bulky GCX. Further, this 3D network structure was also observed in the tumors of ApcMin/+ mice. In conclusion, the bulky GCX modifies the network structure of CRCs in human and mice.

Prediction and optimization model of activated carbon double layer capacitors based on improved heuristic approach genetic algorithm neural network

2018 ◽  
Vol 35 (4) ◽  
pp. 1625-1638 ◽  
Author(s):  
Zhen Yang ◽  
Yun Lin ◽  
Xingsheng Gu ◽  
Xiaoyi Liang
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Activated Carbon ◽  
Prediction Model ◽  
Electrochemical Properties ◽  
Double Layer ◽  
Process Parameters ◽  
Electrode Material ◽  
Content Type ◽  
Double Layer Capacitors

PurposeThe purpose of this paper is to study the electrochemical properties of electrode material on activated carbon double layer capacitors. It also tries to develop a prediction model to evaluate pore size value.Design/methodology/approachBack-propagation neural network (BPNN) prediction model is used to evaluate pore size value. Also, an improved heuristic approach genetic algorithm (HAGA) is used to search for the optimal relationship between process parameters and electrochemical properties.FindingsA three-layer ANN is found to be optimum with the architecture of three and six neurons in the first and second hidden layer and one neuron in output layer. The simulation results show that the optimized design model based on HAGA can get the suitable process parameters.Originality/valueHAGA BPNN is proved to be a practical and efficient way for acquiring information and providing optimal parameters about the activated carbon double layer capacitor electrode material.

Electrochemical properties of Mn-doped activated carbon aerogel as electrode material for supercapacitor

2012 ◽  
Vol 12 (1) ◽  
pp. 233-237 ◽  
Author(s):  
Yoon Jae Lee ◽  
Hai Woong Park ◽  
Sunyoung Park ◽  
In Kyu Song
Keyword(s):  
Activated Carbon ◽  
Electrochemical Properties ◽  
Electrode Material ◽  
Carbon Aerogel ◽  
Mn Doped
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