Microclusters
Download Microclusters PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Microclusters book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Microclusters
Author: Satoru Sugano
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-12
This volume contains the proceedings of the first in a series of biennial NEC Symposia on Fundamental Approaches to New Material Phases sponsored by the NEC Corporation, Tokyo, Japan. The symposium was held Octo ber 20-22, 1986, at Hakone Kanko Hotel in Hakone near Mt. Fuji, and on October 23 at NEC Laboratories in Kawasaki, Japan. About 40 partic ipants stayed together at the symposium sites during this period. They enjoyed intense and wide-ranging discussions in a conference room facing Mt. Fuji and the beautiful lake Ashinoko extending from the foot of the slope in the old crater. The title of the volume, Microclusters, means microscopic aggregates consisting of a few tens through a few hundreds of atoms. Microclusters, which are too big to be described as inorganic molecules but too small to have translational symmetry, are expected to show exotic properties which can be found in neither molecules nor solids. In the past few years the research field of microclusters has shown rapid and epoch-making de velopment. This is partly due to rapid development of the experimental techniques which have enabled the production of relatively dense, non interacting microclusters of various sizes in the form of cluster beams, thus allowing measurement of the properties of a free microcluster of a given size.
Microcluster Physics
Author: Satoru Sugano
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-08
This book aims at providing graduate students and researchers with funda mental knowledge indispensable for entering the new field of "microclus 3 ters". Microclusters consisting of 10 to 10 atoms exhibit neither the pro perties of the corresponding bulk nor those of the corresponding molecule of a few atoms. The microclusters may be considered to form a new phase of materials lying between macroscopic solids and microscopic particles such as atoms and molecules, showing both macroscopic and microscopic features. However, research into such"a riew phase has been left untouched until recent years by the development of the quantum theory of matter. The microscopic features of microclusters were first revealed by ob serving anomalies of the mass spectrum of a Na cluster beam at specific sizes, called magic numbers. Then it was experimentally confirmed that the magic numbers come from the shell structure of valence electrons. Being stimulated by these epoch-making findings in metal microclusters and aided by progress of the experimental techniques producing relatively dense, non interacting micro clusters of various sizes in the form of micro cluster beams, the research field of microclusters has developed rapidly in these 5 to 7 years. The progress is also due to the improvement of computers and com putational techniques, which have made it possible to perform ab initio cal culations of the atomic and electronic structure of smaller microclusters, as well as to carry out computer simulations of their dynamics.
Data Mining in Large Sets of Complex Data
Author: Robson Leonardo Ferreira Cordeiro
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-01-11
The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation? Can it be made automatically? Based on the work discussed in this book, the answers to both questions are a sound “yes”, and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation.