Simple route for gram synthesis of less defective few layered graphene and its electrochemical performance

RSC Advances ◽  
2015 ◽  
Vol 5 (56) ◽  
pp. 44920-44927 ◽  
Author(s):  
Nazish Parveen ◽  
Mohd Omaish Ansari ◽  
Moo Hwan Cho
Keyword(s):  
Electrochemical Performance ◽  
Mass Production ◽  
Large Scale ◽  
High Quality ◽  
Simple Route ◽  
Practical Applications

The mass production of high-quality graphene (GN) sheets is essential for their practical applications on a large scale.

High-quality two-dimensional electron gas at large scale GaN/AlGaN wafer interface prepared by mass production MOCVD systems

2005 ◽  
Vol 133 (10) ◽  
pp. 647-649 ◽  
Author(s):  
Syoji Yamada ◽  
Takashi Ohnishi ◽  
Tomoyasu Kakegawa ◽  
Masashi Akabori ◽  
Toshi-kazu Suzuki ◽  
...  
Keyword(s):  
Mass Production ◽  
Large Scale ◽  
Electron Gas ◽  
Two Dimensional ◽  
Dimensional Electron ◽  
Two Dimensional Electron Gas ◽  
High Quality ◽  
Dimensional Electron Gas

scholarly journals Constructing molecular structures on periodic superstructure of graphene/Ru(0001)

2014 ◽  
Vol 372 (2013) ◽  
pp. 20130015 ◽  
Author(s):  
Geng Li ◽  
Li Huang ◽  
Wenyan Xu ◽  
Yande Que ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Quantum Dot ◽  
Surface Charge ◽  
Large Scale ◽  
Lattice Mismatch ◽  
Molecular Structures ◽  
Iron Phthalocyanine ◽  
Charge Redistribution ◽  
High Quality ◽  
Practical Applications ◽  
Substrate Interaction

We review the way to fabricate large-scale, high-quality and single crystalline graphene epitaxially grown on Ru(0001) substrate. A moiré pattern of the graphene/Ru(0001) is formed due to the lattice mismatch between graphene and Ru(0001). This superstructure gives rise to surface charge redistribution and could behave as an ordered quantum dot array, which results in a perfect template to guide the assembly of organic molecular structures. Molecules, for example iron phthalocyanine and C 60 , on this template show how the molecule–substrate interaction makes different superstructures. These results show the possibility of constructing ordered molecular structures on graphene/Ru(0001), which is helpful for practical applications in the future.

scholarly journals Injection Molding Technology

2022 ◽  
Author(s):  
D.A. Kurasov
Keyword(s):  
Injection Molding ◽  
Mass Production ◽  
Large Scale ◽  
Injection Molding Process ◽  
Molding Process ◽  
High Quality

Abstract. The injection molding process is one of the most efficient and economical casting processes. The process is becoming increasingly common in various industries in large-scale and mass production of castings. It should be noted that by having great advantages over other methods of obtaining high-quality castings of higher accuracy, injection molding makes it possible to bring the dimensions of the castings as close as possible to the dimensions of the finished parts.

Scalable Synthesis of Ultrathin g-C3N4 Nanosheets with Enhanced Photocatalytic Activities via High Shear Exfoliation

2017 ◽  
Vol 45 ◽  
pp. 49-54 ◽  
Author(s):  
Ting Nan Yan ◽  
En Hui Liu ◽  
Zeng Yong Chu ◽  
Xiao Dong Li
Keyword(s):  
Crystal Structure ◽  
Mass Production ◽  
Photocatalytic Performance ◽  
High Shear ◽  
High Quality ◽  
Promising Candidate ◽  
Simple Route ◽  
Photocatalytic Activities ◽  
Shear Mixing ◽  
Scalable Synthesis

High-shear mixing was demonstrated as an effective approach for the green synthesis of ultrathin g-C3N4 nanosheets with excellent photocatalytic performance. The resultant nanosheets were characterized in terms of morphology, crystal structure, electronic structure and photocatalytic behavior. It was found that the g-C3N4 nanosheets mainly consist of one C-N layer with a thickness about 0.7 nm. The products show a band gap of 2.6 eV and exhibit high photocatalytic activities with almost 4 times higher than their bulk counterparts toward RhB degradation. With the yield as high as 20 %, the present simple route may be qualified as a promising candidate for the mass production of high quality g-C3N4 nanosheets.

Effects of Process Tube Position on Properties of Graphene Layers

2012 ◽  
Vol 1451 ◽  
pp. 57-62 ◽  
Author(s):  
Zafer Mutlu ◽  
Miroslav Penchev ◽  
Isaac Ruiz ◽  
Hamed Hosseini Bay ◽  
Shirui Guo ◽  
...  
Keyword(s):  
Large Scale ◽  
Growth Parameters ◽  
Industrial Applications ◽  
Quartz Tube ◽  
Large Area ◽  
High Quality ◽  
Practical Applications ◽  
Graphene Layers ◽  
Vis Spectroscopy ◽  
Tube Position

ABSTRACTGraphene, with unique electrical, optical and mechanical properties is a promising material in industrial applications, such as batteries, supercapacitors, transistors and semiconductor devices. These potential applications of graphene have motivated the development of large-scale synthesis of graphene on copper substrates by chemical vapor deposition (CVD). To enable practical applications of large-area, high quality graphene layers at the centimeter and wafer scales, process control needs to be implemented for optimizing the morphology and electrical properties and enable repeatable growth-cycle of graphene layers for process-line implementation. Here we investigate the effects of process quartz-tube position on the structural properties of graphene. Furthermore, we describe a procedure for process optimization of the growth parameters. Graphene is grown on copper foils by CVD, and transferred to the SiO2/Si and glass substrates. The detailed characterization of the graphene layers are conducted using Raman spectroscopy, optical microscopy (OM), scanning electron microscopy (SEM) and UV-vis spectroscopy. The experimental results show that the position of copper foil into the quartz tube plays a significant role in the Raman features of the graphene, and influences the optical, morphology and surface properties of graphene layers. We believe that these results will be useful for determining the optimum processing conditions of high quality graphene layers at the centimeter and wafer scales.

Large scale green production of ultra-high capacity anode consisting of graphene encapsulated silicon nanoparticles

2017 ◽  
Vol 5 (36) ◽  
pp. 19126-19135 ◽  
Author(s):  
Ali Reza Kamali ◽  
Hyun-Kyung Kim ◽  
Kwang-Bum Kim ◽  
R. Vasant Kumar ◽  
Derek J. Fray
Keyword(s):  
Electrochemical Performance ◽  
Molten Salts ◽  
Large Scale ◽  
Silicon Nanoparticles ◽  
Graphene Nanosheets ◽  
High Capacity ◽  
Li Ion Batteries ◽  
High Quality ◽  
Green Production ◽  
Li Ion

High quality graphene nanosheets produced in molten salts were found to be capable of wrapping silicon nanoparticles, leading to the fabrication of graphene encapsulated silicon nanoparticles with an excellent stable electrochemical performance as anode material for Li-ion batteries.

Bullying, School Violence, and Climate in Evolving Contexts

2018 ◽  
Author(s):  
Ron Avi Astor ◽  
Rami Benbenisthty
Keyword(s):  
School Violence ◽  
School Safety ◽  
Media Coverage ◽  
Large Scale ◽  
Ecological Model ◽  
Empirical Studies ◽  
Practical Applications ◽  
Teacher Student ◽  
Area Of Interest ◽  
New Research

Since 2005, the bullying, school violence, and school safety literatures have expanded dramatically in content, disciplines, and empirical studies. However, with this massive expansion of research, there is also a surprising lack of theoretical and empirical direction to guide efforts on how to advance our basic science and practical applications of this growing scientific area of interest. Parallel to this surge in interest, cultural norms, media coverage, and policies to address school safety and bullying have evolved at a remarkably quick pace over the past 13 years. For example, behaviors and populations that just a decade ago were not included in the school violence, bullying, and school safety discourse are now accepted areas of inquiry. These include, for instance, cyberbullying, sexting, social media shaming, teacher–student and student–teacher bullying, sexual harassment and assault, homicide, and suicide. Populations in schools not previously explored, such as lesbian, gay, bisexual, transgender, and queer students and educators and military- and veteran-connected students, become the foci of new research, policies, and programs. As a result, all US states and most industrialized countries now have a complex quilt of new school safety and bullying legislation and policies. Large-scale research and intervention funding programs are often linked to these policies. This book suggests an empirically driven unifying model that brings together these previously distinct literatures. This book presents an ecological model of school violence, bullying, and safety in evolving contexts that integrates all we have learned in the 13 years, and suggests ways to move forward.

scholarly journals Flux Method Growth of Large Size Group IV–V 2D GeP Single Crystals and Photoresponse Application

Crystals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 235
Author(s):  
Shuqi Zhao ◽  
Tongtong Yu ◽  
Ziming Wang ◽  
Shilei Wang ◽  
Limei Wei ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Single Crystals ◽  
High Performance ◽  
Group Iv ◽  
X Ray Diffraction ◽  
High Quality ◽  
Practical Applications ◽  
Large Size ◽  
Growth Method ◽  
Polarized Raman

Two-dimensional (2D) materials driven by their unique electronic and optoelectronic properties have opened up possibilities for their various applications. The large and high-quality single crystals are essential to fabricate high-performance 2D devices for practical applications. Herein, IV-V 2D GeP single crystals with high-quality and large size of 20 × 15 × 5 mm3 were successfully grown by the Bi flux growth method. The crystalline quality of GeP was confirmed by high-resolution X-ray diffraction (HRXRD), Laue diffraction, electron probe microanalysis (EPMA) and Raman spectroscopy. Additionally, intrinsic anisotropic optical properties were investigated by angle-resolved polarized Raman spectroscopy (ARPRS) and transmission spectra in detail. Furthermore, we fabricated high-performance photodetectors based on GeP, presenting a relatively large photocurrent over 3 mA. More generally, our results will significantly contribute the GeP crystal to the wide optoelectronic applications.

Tiered Sampling

2021 ◽  
Vol 15 (5) ◽  
pp. 1-52
Author(s):  
Lorenzo De Stefani ◽  
Erisa Terolli ◽  
Eli Upfal
Keyword(s):  
Large Scale ◽  
Analysis Of Algorithms ◽  
Base Layer ◽  
Single Edge ◽  
Real World Data ◽  
High Quality ◽  
Large Graphs ◽  
Massive Graphs ◽  
Variance Estimate ◽  
Low Probability

We introduce Tiered Sampling , a novel technique for estimating the count of sparse motifs in massive graphs whose edges are observed in a stream. Our technique requires only a single pass on the data and uses a memory of fixed size M , which can be magnitudes smaller than the number of edges. Our methods address the challenging task of counting sparse motifs—sub-graph patterns—that have a low probability of appearing in a sample of M edges in the graph, which is the maximum amount of data available to the algorithms in each step. To obtain an unbiased and low variance estimate of the count, we partition the available memory into tiers (layers) of reservoir samples. While the base layer is a standard reservoir sample of edges, other layers are reservoir samples of sub-structures of the desired motif. By storing more frequent sub-structures of the motif, we increase the probability of detecting an occurrence of the sparse motif we are counting, thus decreasing the variance and error of the estimate. While we focus on the designing and analysis of algorithms for counting 4-cliques, we present a method which allows generalizing Tiered Sampling to obtain high-quality estimates for the number of occurrence of any sub-graph of interest, while reducing the analysis effort due to specific properties of the pattern of interest. We present a complete analytical analysis and extensive experimental evaluation of our proposed method using both synthetic and real-world data. Our results demonstrate the advantage of our method in obtaining high-quality approximations for the number of 4 and 5-cliques for large graphs using a very limited amount of memory, significantly outperforming the single edge sample approach for counting sparse motifs in large scale graphs.

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