Author : Ke Li
Publisher :
Page : 270 pages
File Size : 33,63 MB
Release : 2003
Category :
ISBN : 9780496052271
Author : Peng Cheng
Publisher :
Page : 213 pages
File Size : 43,13 MB
Release : 2002
Category :
ISBN : 9780493480947
Author :
Publisher : Springer Science & Business Media
Page : 228 pages
File Size : 36,61 MB
Release : 2004-10-08
Category : Technology & Engineering
ISBN : 9783540217114
1. T. Takata, N. Kihara, Y. Furusho: Polyrotaxanes and Polycatenanes: Recent Advances in Syntheses and Applications of Polymers Comprising of Interlocked Structures.- 2. M. Suginome, Y. Ito: Transition Metal-Mediated Polymerization of Isocyanides.- 3. K. Osakada, D. Takeuchi: Coordination Polymerization of Dienes, Allenes and Methylenecycloalkanes.
Author : D. W. M. Hofmann
Publisher : Springer
Page : 181 pages
File Size : 48,94 MB
Release : 2009-12-24
Category : Science
ISBN : 3642047599
Humans have been “manually” extracting patterns from data for centuries, but the increasing volume of data in modern times has called for more automatic approaches. Early methods of identifying patterns in data include Bayes’ theorem (1700s) and Regression analysis (1800s). The proliferation, ubiquity and incre- ing power of computer technology has increased data collection and storage. As data sets have grown in size and complexity, direct hands-on data analysis has - creasingly been augmented with indirect, automatic data processing. Data mining has been developed as the tool for extracting hidden patterns from data, by using computing power and applying new techniques and methodologies for knowledge discovery. This has been aided by other discoveries in computer science, such as Neural networks, Clustering, Genetic algorithms (1950s), Decision trees (1960s) and Support vector machines (1980s). Data mining commonlyinvolves four classes of tasks: • Classi cation: Arranges the data into prede ned groups. For example, an e-mail program might attempt to classify an e-mail as legitimate or spam. Common algorithmsinclude Nearest neighbor,Naive Bayes classi er and Neural network. • Clustering: Is like classi cation but the groups are not prede ned, so the algorithm will try to group similar items together. • Regression: Attempts to nd a function which models the data with the least error. A common method is to use Genetic Programming. • Association rule learning: Searches for relationships between variables. For example, a supermarket might gather data of what each customer buys.
Author : Chuan-Feng Chen
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 21,54 MB
Release : 2012-12-02
Category : Science
ISBN : 3642328881
Iptycenes Chemistry: From Synthesis to Applications provides a comprehensive overview of the development of iptycene chemistry in the past seventy years. This book covers: (1) the basic nomenclature and general properties of iptycenes and their derivatives; (2) the synthesis and functionalization reactions of triptycenes, pentiptycenes, higher iptycenes, heterotriptycenes, and homotriptycenes; (3) the methods for the preparation of iptycene-based polymers with different types; and (4) the applications of iptycenes and their derivatives in molecular machines, materials science, host-guest chemistry, self-assembly, coordination chemistry, physical organic chemistry, medicinal chemistry, and so on. Consequently, such a book is not only helpful to researchers working in iptycene chemistry, but can also facilitate future research in wide areas.
Author : Peter J. Stang
Publisher :
Page : 538 pages
File Size : 30,31 MB
Release : 1979
Category : Science
ISBN :
Author : Catherine E. Housecroft
Publisher : MDPI
Page : 264 pages
File Size : 17,9 MB
Release : 2021-08-18
Category : Science
ISBN : 3036514635
This Special Issue is one of the first for the new MDPI flagship journal Chemistry (ISSN 2624-8549) which has a broad remit for publishing original research in all areas of chemistry. The theme of this issue is Supramolecular Chemistry in the 3rd Millennium and I am sure that this topic will attract many exciting contributions. We chose this topic because it encompasses the unity of contemporary pluridisciplinary science, in which organic, inorganic, physical and theoretical chemists work together with molecular biologists and physicists to develop a systems-level understanding of molecular interactions. The description of supramolecular chemistry as 'chemistry beyond the molecule' (Jean-Marie Lehn, Nobel Lecture and Gautam R. Desiraju, Nature, 2001, 412, 397) addresses the wide variety of weak, non-covalent interactions that are the basis for the assembly of supramolecular architectures, molecular receptors and molecular recognition, programed molecular systems, dynamic combinatorial libraries, coordination networks and functional supramolecular materials. We welcome submissions from all disciplines involved in this exciting and evolving area of science.
Author : Electrochemical Society. Fullerenes Group
Publisher : The Electrochemical Society
Page : 292 pages
File Size : 16,78 MB
Release : 2000
Category : Dielectrics
ISBN : 9781566772761
Author : Thomas Baumgartner
Publisher : John Wiley & Sons
Page : 557 pages
File Size : 10,46 MB
Release : 2018-03-12
Category : Science
ISBN : 1119235979
Showcases the highly beneficial features arising from the presence of main group elements in organic materials, for the development of more sophisticated, yet simple advanced functional materials Functional organic materials are already a huge area of academic and industrial interest for a host of electronic applications such as Organic Light-Emitting Diodes (OLEDs), Organic Photovoltaics (OPVs), Organic Field-Effect Transistors (OFETs), and more recently Organic Batteries. They are also relevant to a plethora of functional sensory applications. This book provides an in-depth overview of the expanding field of functional hybrid materials, highlighting the incredibly positive aspects of main group centers and strategies that are furthering the creation of better functional materials. Main Group Strategies towards Functional Hybrid Materials features contributions from top specialists in the field, discussing the molecular, supramolecular and polymeric materials and applications of boron, silicon, phosphorus, sulfur, and their higher homologues. Hypervalent materials based on the heavier main group elements are also covered. The structure of the book allows the reader to compare differences and similarities between related strategies for several groups of elements, and to draw crosslinks between different sections. The incorporation of main group elements into functional organic materials has emerged as an efficient strategy for tuning materials properties for a wide range of practical applications Covers molecular, supramolecular and polymeric materials featuring boron, silicon, phosphorus, sulfur, and their higher homologues Edited by internationally leading researchers in the field, with contributions from top specialists Main Group Strategies towards Functional Hybrid Materials is an essential reference for organo-main group chemists pursuing new advanced functional materials, and for researchers and graduate students working in the fields of organic materials, hybrid materials, main group chemistry, and polymer chemistry.
Author : C. N. R. Rao
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 14,77 MB
Release : 2007-09-24
Category : Science
ISBN : 3527611371
With this handbook, the distinguished team of editors has combined the expertise of leading nanomaterials scientists to provide the latest overview of this field. They cover the whole spectrum of nanomaterials, ranging from theory, synthesis, properties, characterization to application, including such new developments as quantum dots, nanoparticles, nanoporous materials, nanowires, nanotubes, and nanostructured polymers. The result is recommended reading for everybody working in nanoscience: Newcomers to the field can acquaint themselves with this exciting subject, while specialists will find answers to all their questions as well as helpful suggestions for further research.
