Crystal Data: Inorganic compounds PDF Download
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Author: Joseph Désiré Hubert Donnay
Publisher:
ISBN:
Category : Crystallography
Languages : en
Pages : 1780
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Book Description
Author: Joseph Désiré Hubert Donnay
Publisher:
ISBN:
Category : Crystallography
Languages : en
Pages : 1780
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Book Description
Author: Joseph Désiré Hubert Donnay
Publisher:
ISBN:
Category : Crystallography
Languages : en
Pages : 1328
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Book Description
Author: Olexandr Isayev
Publisher: John Wiley & Sons
ISBN: 3527341218
Category : Technology & Engineering
Languages : en
Pages : 304
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Book Description
Provides everything readers need to know for applying the power of informatics to materials science There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials. Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others. -Bridges the gap between materials science and informatics -Covers all the known methodologies and applications of materials informatics -Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials -Examines the state-of-the-art software and tools being used today Materials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.
Author: D. Max Roundhill
Publisher: Springer Science & Business Media
ISBN: 1475761015
Category : Science
Languages : en
Pages : 422
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Book Description
This book is intended to offer the reader a snapshot of the field of optoelectronic materials from the viewpoint of inorganic chemists. The field of inorganic chemistry is transforming from one focused on the synthesis of compounds having interesting coordination numbers, structures, and stereochemistries, to one focused on preparing compounds that have potentially useful practical applica tions. Two such applications are in the area of optics and electronics. These are fields where the use of inorganic materials has a long history. As the field of microelectronics develops the demands on the performance of such materials increases, and it becomes necessary to discover compounds that will meet these demands. The field of optoelectronics represents a merging of the two disciplines. Its emergence is a natural one because many of the applications involve both of these properties, and also because the electronic structure of a metal compound that confers novel optical properties is often one that also influences its electron transfer and conductivity characteristics. Two of the more important growth areas that have led to these developments are communications and medicine. Within the communications field there is the microelectronics that is involved in information storage and transmittal, some of which will be transferred into the optical regime. Within the medical field there are chemical probes that transmit analytical information from an in vivo environment. This information needs to be readily accessible from an external site, and then quickly converted into images or data that yield accurate and inexpensive diagnoses.
Author:
Publisher:
ISBN:
Category : Physical instruments
Languages : en
Pages : 46
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Book Description
Author: Sergey Krivovichev
Publisher: Elsevier
ISBN: 0080467911
Category : Science
Languages : en
Pages : 505
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Book Description
Structural Chemistry of Inorganic Actinide Compounds is a collection of 13 reviews on structural and coordination chemistry of actinide compounds. Within the last decade, these compounds have attracted considerable attention because of their importance for radioactive waste management, catalysis, ion-exchange and absorption applications, etc. Synthetic and natural actinide compounds are also of great environmental concern as they form as a result of alteration of spent nuclear fuel and radioactive waste under Earth surface conditions, during burn-up of nuclear fuel in reactors, represent oxidation products of uranium miles and mine tailings, etc. The actinide compounds are also of considerable interest to material scientists due to the unique electronic properties of actinides that give rise to interesting physical properties controlled by the structural architecture of respective compounds. The book provides both general overview and review of recent developments in the field, including such emergent topics as nanomaterials and nanoparticles and their relevance to the transfer of actinides under environmental conditions.* Covers over 2,000 actinide compounds including materials, minerals and coordination polymers* Summarizes recent achievements in the field* Some chapters reveal (secret) advances made by the Soviet Union during the 'Cold war'
Author: D. W. M. Hofmann
Publisher: Springer
ISBN: 3642047599
Category : Science
Languages : en
Pages : 181
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Book Description
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:
Publisher:
ISBN:
Category : Building
Languages : en
Pages : 554
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Book Description
Author: Jacob Mazur
Publisher:
ISBN:
Category : FORTRAN (Computer program language)
Languages : en
Pages : 92
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Book Description
Author: United States. National Bureau of Standards
Publisher:
ISBN:
Category : Chemistry, Physical and theoretical
Languages : en
Pages : 528
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Book Description
