Single-step synthesis of copper sulfide hollow spheres by a template interface reaction routeElectronic supplementary information (ESI) available: XRD pattern of copper sulfide products. See http://www.rsc.org/suppdata/jm/b4/b407435a/

2004 ◽  
Vol 14 (16) ◽  
pp. 2489 ◽  
Author(s):  
Songming Wan ◽  
Fan Guo ◽  
Liang Shi ◽  
Yiya Peng ◽  
Xinzheng Liu ◽  
...  
Keyword(s):  
Copper Sulfide ◽  
Hollow Spheres ◽  
Interface Reaction ◽  
Single Step ◽  
Supplementary Information ◽  
Xrd Pattern

Bubble template synthesis of copper sulfide hollow spheres and their applications in lithium ion battery

2012 ◽  
Vol 68 ◽  
pp. 28-31 ◽  
Author(s):  
Li Zhao ◽  
Fangqi Tao ◽  
Zhao Quan ◽  
Xianlong Zhou ◽  
Yuhong Yuan ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Template Synthesis ◽  
Copper Sulfide ◽  
Hollow Spheres ◽  
Lithium Ion ◽  
Bubble Template

Fabrication of Nickel hollow spheres by microemulsion–template–interface reaction route

2010 ◽  
Vol 64 (6) ◽  
pp. 746-748 ◽  
Author(s):  
Denghui Jiang ◽  
Yida Deng ◽  
Haoran Wang ◽  
Bin Shen ◽  
Yating Wu ◽  
...  
Keyword(s):  
Hollow Spheres ◽  
Interface Reaction ◽  
Reaction Route

Synthesis of novel copper sulfide hollow spheres generated from copper (II)–thiourea complex

2004 ◽  
Vol 263 (1-4) ◽  
pp. 570-574 ◽  
Author(s):  
Xiangying Chen ◽  
Zhenghua Wang ◽  
Xiong Wang ◽  
Rui Zhang ◽  
Xinyuan Liu ◽  
...  
Keyword(s):  
Copper Sulfide ◽  
Hollow Spheres ◽  
Thiourea Complex

scholarly journals Chemistry and Mechanism of One-Step Formation of Graphene from Agrowaste

2020 ◽  
Vol 9 (3) ◽  
pp. 1389-1394
Keyword(s):  
Sugarcane Bagasse ◽  
High Performance ◽  
Graphene Nanosheets ◽  
Atmospheric Condition ◽  
Single Step ◽  
Xrd Pattern ◽  
Graphene Derivatives ◽  
One Step ◽  
The One ◽  
First Time

The one-step synthesis of high-quality graphene derivatives via CVD process has gained considerable importance nowadays for high-performance electronics and sensors. However, the use of harsh chemicals, high temperature, sensitivity, and the problem of separation of graphene from the substrate, motivated the one-step synthesis of graphene from a non-graphitic precursor, bypassing the use of graphite. In this paper, we have reported for the first time, the synthesis of graphene nanosheets from sugarcane bagasse at the normal atmospheric condition in a single step, avoiding the formation of GO. Here, the pyrolysis of sugarcane bagasse was carried out in the temperature range of 250-450o C in the presence of sodium hydroxide. The results suggested that even the low temperature (250–450o C) facilitated the development of graphitic planes via condensation and aromatization of the glucose monomers present in the precursor. The XRD pattern showed 2θ at around 25o in each case, which confirmed the formation of graphene instead of GO. The FESEM, TEM, and EDX analysis proved the formation of few-layer nanosheets of graphene from carbon-rich waste precursors in a single step.

scholarly journals Controlling large Boolean networks with single-step perturbations

2019 ◽  
Vol 35 (14) ◽  
pp. i558-i567 ◽  
Author(s):  
Alexis Baudin ◽  
Soumya Paul ◽  
Cui Su ◽  
Jun Pang
Keyword(s):  
Biological Networks ◽  
Boolean Network ◽  
Real Life ◽  
Extended Period ◽  
Boolean Networks ◽  
Single Step ◽  
Divide And Conquer ◽  
Supplementary Information ◽  
Initial State ◽  
Minimal Subset

Abstract Motivation The control of Boolean networks has traditionally focussed on strategies where the perturbations are applied to the nodes of the network for an extended period of time. In this work, we study if and how a Boolean network can be controlled by perturbing a minimal set of nodes for a single-step and letting the system evolve afterwards according to its original dynamics. More precisely, given a Boolean network (BN), we compute a minimal subset Cmin of the nodes such that BN can be driven from any initial state in an attractor to another ‘desired’ attractor by perturbing some or all of the nodes of Cmin for a single-step. Such kind of control is attractive for biological systems because they are less time consuming than the traditional strategies for control while also being financially more viable. However, due to the phenomenon of state-space explosion, computing such a minimal subset is computationally inefficient and an approach that deals with the entire network in one-go, does not scale well for large networks. Results We develop a ‘divide-and-conquer’ approach by decomposing the network into smaller partitions, computing the minimal control on the projection of the attractors to these partitions and then composing the results to obtain Cmin for the whole network. We implement our method and test it on various real-life biological networks to demonstrate its applicability and efficiency. Supplementary information Supplementary data are available at Bioinformatics online.

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