• No results found

Few Layer Graphene Sheet Passivated Porous Silicon Toward Excellent Electrochemical Double Layer Supercapacitor Electrode

N/A
N/A
Protected

Academic year: 2020

Share "Few Layer Graphene Sheet Passivated Porous Silicon Toward Excellent Electrochemical Double Layer Supercapacitor Electrode"

Copied!
9
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1 (a) and (b) Electrochemical etching of porous silicon. (c) and (d) Schematic of Ni-assisted CVD process for graphene coating and pore reorganization
Fig. 2 a Cross-sectional SEM image of as-etched PSi. b–d Cross-sectional SEM images of PSi structures after annealing at 1000, 1050, and 1100 °C.Insets show magnified images
Fig. 4 a Cross-sectional Raman spectra of hybrid porous PSi. b TEMand HR-TEM images (noticeable graphene coating) of hybridporous PSi
Fig. 5 CV curves of a as-etched and annealed PSi electrodes at a 25 mV/s scan rate. b Mesoporous, c hybrid-porous, and d macroporous PSielectrodes at 5–1000 mV/s scan rates, respectively
+3

References

Related documents

The scope of work includes: isolation of the native humic materials from main types of raw materials and synthesis of their derivatives (more than 20 samples as a total)

Singleleaf pinyon/Utah juniper community consistently had the lowest infiltration rates, and this rate was significantly lower than all other communities except

The paper presents the results of research as well as variability of concentrations of selected parameters of liquid wastes supplied to the collection point in Bialystok, that

It has been accepted for inclusion in Theses, Dissertations, and Other Capstone Projects by an authorized administrator of Cornerstone: A Collection of Scholarly and Creative Works

Devoted to plant breeding, animal breeding, and eugenics. Often contains articles and discussions relating to human intelligence and its inheritence. Journal of Nervous and

Binary classification of RNA secondary structure families Further refinement of the optimal parameters was per- formed using a binary classifier for two sets of 200

Figure 6: Comparison of the measured reduction in effective through-thickness thermal conductivity (expressed as the % of the bulk conductivity) with model

International Journal of Scientific Research in Computer Science, Engineering and Information Technology CSEIT1833127 | Received 05 March 2018 | Accepted 14 March 2018 | March April 2018