Spectroscopic Elucidation of First Steps of Supported Bimetallic Cluster Formation

2009 ◽  
Vol 48 (51) ◽  
pp. 9697-9700 ◽  
Author(s):  
Apoorva Kulkarni ◽  
Bruce C. Gates
2009 ◽  
Vol 121 (51) ◽  
pp. 9877-9880 ◽  
Author(s):  
Apoorva Kulkarni ◽  
Bruce C. Gates

2017 ◽  
Vol 4 (11) ◽  
pp. 1917-1922 ◽  
Author(s):  
Yongdong Chen ◽  
Chaolei Zhang ◽  
Jiangwei Zhang ◽  
Zhongbin Ye ◽  
Kai Zheng ◽  
...  

Cu3[H6W12O42] cluster heterogeneous catalysts for inulin hydrolysis towards fructose production with 100% conversion and 90% selectivity under aqueous condition are achieved.


2020 ◽  
Author(s):  
Christoph Buttersack

<p>Adsorption isotherms are an essential tool in chemical physics of surfaces. However, several approaches based on a different theoretical basis exist and for isotherms including capillary condensation existing approaches can fail. Here, a general isotherm equation is derived and applied to literature data both concerning type IV isotherms of argon and nitrogen in ordered mesoporous silica, and type II isotherms of disordered macroporous silica. The new isotherm covers the full range of partial pressure (10<sup>-6</sup> - 0.7). It relies firstly on the classical thermodynamics of cluster formation, secondly on a relationship defining the free energy during the increase of the cluster size. That equation replaces the Lennard-Jones potentials used in the classical density functional theory. The determination of surface areas is not possible by this isotherm because the cross-sectional area of a cluster is unknown. Based on the full description of type IV isotherms, most known isotherms are accessible by respective simplifications. </p>


Author(s):  
Amandeep Kaur Sohal ◽  
Ajay Kumar Sharma ◽  
Neetu Sood

Background: An information gathering is a typical and important task in agriculture monitoring and military surveillance. In these applications, minimization of energy consumption and maximization of network lifetime have prime importance for green computing. As wireless sensor networks comprise of a large number of sensors with limited battery power and deployed at remote geographical locations for monitoring physical events, therefore it is imperative to have minimum consumption of energy during network coverage. The WSNs help in accurate monitoring of remote environment by collecting data intelligently from the individual sensors. Objective: The paper is motivated from green computing aspect of wireless sensor network and an Energy-efficient Weight-based Coverage Enhancing protocol using Genetic Algorithm (WCEGA) is presented. The WCEGA is designed to achieve continuously monitoring of remote areas for a longer time with least power consumption. Method: The cluster-based algorithm consists two phases: cluster formation and data transmission. In cluster formation, selection of cluster heads and cluster members areas based on energy and coverage efficient parameters. The governing parameters are residual energy, overlapping degree, node density and neighbor’s degree. The data transmission between CHs and sink is based on well-known evolution search algorithm i.e. Genetic Algorithm. Conclusion: The results of WCEGA are compared with other established protocols and shows significant improvement of full coverage and lifetime approximately 40% and 45% respectively.


1993 ◽  
Vol 58 (10) ◽  
pp. 2266-2271 ◽  
Author(s):  
Herbert Morawetz

Recent studies of polymers in solution and in bulk by energy transfer between two fluorescent labels are reviewed. Such studies are concerned with the equilibrium and dynamics of polymer chain expansion, molecular cluster formation in solution, the miscibility of polymers in bulk, and the interdiffusion of polymer latex particles.


Sign in / Sign up

Export Citation Format

Share Document