Analysis of nanopore arrangement and structural features of anodic alumina layers formed by two-step anodizing in oxalic acid using the dedicated executable software

Anodic porous alumina layers were fabricated by a two-step self-organized anodization in 0.3 M oxalic acid under various anodizing potentials ranging from 30 to 60 V at two different temperatures (10 and 17 ◦ C). The ef- fect of anodizing conditions on structural features and pore arrangement of AAO was investigated in detail by using the dedicated executable publication combined with ImageJ software. With increasing anodizing potential, a linear in- crease of the average pore diameter, interpore distance, wall thickness and barrier layer thickness, as well as a decrease of the pore density, were observed. In addition, the higher pore diameter and porosity values were obtained for samples an- odized at the elevated temperature, independently of the an- odizing potential. A degree of pore order was investigated on the basis of Delaunay triangulations (defect maps) and cal- culation of pair distribution or angle distribution functions (PDF or ADF), respectively. All methods confirmed that in order to obtain nanoporous alumina with the best, hexag- onal pore arrangement, the potential of 40 V should be ap- plied during anodization. It was confirmed that the dedicated executable publication can be used to a fast and complex analysis of nanopore arrangement and structural features of nanoporous oxide layers

A Platform for Collaborative e-Science Applications

Abstract A novel, holistic, approach to scientific investigations should, besides analysis of individual phenomena, integrate different, interdisciplinary sources of knowledge about a complex system to obtain a deep understanding of the system as a whole. This innovative way of research, recently called system-level science [1], requires advanced software environments to support collaborating research groups. Most problem-solving environments and virtual laboratories In the ViroLab project The Virtual Laboratory (see The Experiment Planning Environment supports rapid experiment plan development while the Experiment Management Interface enables loading and execution of experiments. The Experiment Repository developers and published for future use. The virtual laboratory engi Operation Invoker which instantiates grid object repr operation invocations. The GridSpace Applic load balancing on computational servers. The Data Access Service remote databases located in research institutions and Fig. 1. Architecture of the Virtual Laboratory The provenance approach in the ViroLab virtual laboratory ontology-based semantic modeling, monitoring of infrastructure, and database technologies, in order to coll the execution of experiments, represent it in a meaningful way, repository. In the ViroLab project, this virtual laboratory is used to plan and virological experiments, with various types of analysis of as the calculation of drug resistance, querying historical and about experiments, a drug resistance system based on the Retrogram been applied to other application domains, such as comparison, data mining using the Weka library, series of Gaussian application on the EGEE infrastructure. computer science classes. We have developed an environment for collaborative planning, execution of e-Science applications. It facilitates fast, close cooperation and users so it may be used by groups of experts running In-silico experiments undergo frequent changes, this platform encourages quick, agile simulation software releasing

GridSpace2 virtual laboratory case study : implementation of algorithms for quantitative analysis of grain morphology in self-assembled hexagonal lattices according to the Hillebrand method

This work presents the implementation of a method, originally proposed by Hillebrand et al., of quantitative analysis of the grain morphology in self-assembled hexagonal lattices. This method can be effectively used for investigation o f structural features as well as regu- lar hexagonal arrangement of nanoporous alumina layers formed on the metal surface during the self-organized anodization process. The method has been implemented as a virtual experiment in the GridSpace2 Virtual Laboratory which is a scientific computing platform developed in the scope of the PL-Grid project. The experiment is a GridSpace2 pilot and therefore made available to the wider community of PL-Grid users. It is both editable and executable through a web portal offered by the GridSpace2 Experiment Workbench, dedicated to PL-Grid users. Moreover, since all GridSpace2 experiments are embeddable on arbitrary web sites owing to the Collage feature, the final version of the experiment has been published as an executable publication with execution rights granted to all PL-Grid users