University of Kabianga

Informatics for materials science and engineering : (Record no. 9348)

MARC details
000 -LEADER
fixed length control field 08323nam a22003257a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210617111116.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210617b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780123943996 (hbk)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 012394399X (hbk)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Modifying agency uok
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA404.23
Item number R35 2013
245 00 - TITLE STATEMENT
Title Informatics for materials science and engineering :
Remainder of title data-driven discovery for accelerated experimentation and application /
Statement of responsibility, etc. edited by Krishna Rajan.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Amsterdam :
Name of producer, publisher, distributor, manufacturer Elsevier/BH, Butterworth-Heinemann is an imprint of Elsevier,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 525 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: 1.Materials Informatics: An Introduction / Krishna Rajan -- 1.The What and Why of Informatics -- 2.Learning from Systems Biology: An "OMICS" Approach to Materials Design -- 3.Where Do We Get the Information? -- 4.Data Mining: Data-Driven Materials Research -- References -- 2.Data Mining in Materials Science and Engineering / Ya Ju Fan -- 1.Introduction -- 2.Analysis Needs of Science Applications -- 3.The Scientific Data-Mining Process -- 4.Image Analysis -- 5.Dimension Reduction -- 6.Building Predictive and Descriptive Models -- 7.Further Reading -- Acknowledgments -- References -- 3.Novel Approaches to Statistical Learning in Materials Science / T. Lookman -- 1.Introduction -- 2.The Supervised Binary Classification Learning Problem -- 3.Incorporating Side Information -- 4.Conformal Prediction -- 5.Optimal Learning -- 6.Optimal Uncertainty Quantification -- 7.Clustering Including Statistical Physics Approaches --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents note continued: 8.Materials Science Example: The Search for New Piezoelectrics -- 9.Conclusion -- 10.Further Reading -- Acknowledgments -- References -- 4.Cluster Analysis: Finding Groups in Data / Somnath Datta -- 1.Introduction -- 2.Unsupervised Learning -- 3.Different Clustering Algorithms and their Implementations in R -- 4.Validations of Clustering Results -- 5.Rank Aggregation of Clustering Results -- 6.Further Reading -- Acknowledgments -- References -- 5.Evolutionary Data-Driven Modeling / Nirupam Chakraborti -- 1.Preamble -- 2.The Concept of Pareto Tradeoff -- 3.Evolutionary Neural Net and Pareto Tradeoff -- 4.Selecting the Appropriate Model in EvoNN -- 5.Conventional Genetic Programming -- 6.Bi-objective Genetic Programming -- 7.Analyzing the Variable Response In EvoNN and BioGP -- 8.An Application in the Materials Area -- 9.Further Reading -- References -- 6.Data Dimensionality Reduction in Materials Science / B. Ganapathysubramanian -- 1.Introduction --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents note continued: 2.Dimensionality Reduction: Basic Ideas and Taxonomy -- 3.Dimensionality Reduction Methods: Algorithms, Advantages, and Disadvantages -- 4.Dimensionality Estimators -- 5.Software -- 6.Analyzing Two Material Science Data Sets: Apatites and Organic Solar Cells -- 7.Further Reading -- References -- 7.Visualization in Materials Research: Rendering Strategies of Large Data Sets / Richard Lesar -- 1.Introduction -- 2.Graphical Tools for Data Visualization: Case Study for Combinatorial Experiments -- 3.Interactive Visualization: Querying Large Imaging Data Sets -- 4.Suggestions for Further Reading -- Acknowledgments -- References -- 8.Ontologies and Databases - Knowledge Engineering for Materials Informatics / Joseph Glick -- 1.Introduction -- 2.Ontologies -- 3.Databases -- 4.Conclusions and Further Reading -- References -- Websites -- 9.Experimental Design for Combinatorial Experiments / James N. Cawse -- 1.Introduction --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents note continued: 2.Standard Design of Experiments (DOE) Methods -- 3.Mixture (Formulation) Designs -- 4.Compound Designs -- 5.Restricted Randomization, Split-Plot, and Related Designs -- 6.Evolutionary Designs -- 7.Designs for Determination of Kinetic Parameters -- 8.Other Methods -- 9.Gradient Spread Designs -- 10.Looking Forward -- References -- 10.Materials Selection for Engineering Design / David Cebon -- 1.Introduction -- 2.Systematic Selection -- 3.Material Indices -- 4.Using Charts to Explore Material Properties -- 5.Practical Materials Selection: Tradeoff Methods -- 6.Material Substitution -- 7.Vectors for Material Development -- 8.Conclusions and Suggested Further Reading -- References -- 11.Thermodynamic Databases and Phase Diagrams / S.K. Saxena -- 1.Introduction -- 2.Thermodynamic Databases -- 3.Examples of Phase Diagrams -- References -- 12.Towards Rational Design of Sensing Materials from Combinatorial Experiments / Radislav Potyrailo -- 1.Introduction --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents note continued: 2.General Principles of Combinatorial Materials Screening -- 3.Opportunities for Sensing Materials -- 4.Designs of Combinatorial Libraries of Sensing Materials -- 5.Optimization of Sensing Materials Using Discrete Arrays -- 6.Optimization of Sensing Materials Using Gradient Arrays -- 7.Summary and Outlook -- 8.Further Reading -- Acknowledgments -- References -- 13.High-Performance Computing for Accelerated Zeolitic Materials Modeling / Pierre Collet -- 1.Introduction -- 2.GPGPU-Based Genetic Algorithms -- 3.Standard Optimization Benchmarks -- 4.Fast Generation of Four-Connected 3D Nets for Modeling Zeolite Structures -- 5.Real Zeolite Problem -- 6.Further Reading -- References -- 14.Evolutionary Algorithms Applied to Electronic-Structure Informatics: Accelerated Materials Design Using Data Discovery vs. Data Searching / Duane D. Johnson -- 1.Introduction -- 2.Intuitive Approach to Correlations -- 3.Genetic Programming for Symbolic Regression --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents note continued: 4.Constitutive Relations Via Genetic Programming -- 5.Further Reading -- Acknowledgments -- References -- 15.Informatics for Crystallography: Designing Structure Maps / Krishna Rajan -- 1.Introduction -- 2.Structure Map Design for Complex Inorganic Solids Via Principal Component Analysis -- 3.Structure Map Design for Intermetallics Via Recursive Partioning -- 4.Further Reading -- References -- 16.From Drug Discovery QSAR to Predictive Materials QSPR: The Evolution of Descriptors, Methods, and Models / Curt M. Breneman -- 1.Historical Perspective -- 2.The Science of MQSPR: Choice and Design of Material Property Descriptors -- 3.Mathematical Methods for QSPR/QSAR/MQSPR -- 4.Integration of Physical and MQSPR Models for Nanocomposite -- Materials Modeling -- 5.The Future of Materials Informatics Applications -- References -- 17.Organic Photovoltaics / Alan Aspuru-Guzik -- 1.Chemical Space, Energy Sources, and the Clean Energy Project --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents note continued: 2.The Molecular Library -- 3.Merit Figures for Organic Photovoltaics -- 4.Descriptors for Organic Photovoltaics -- 5.Predictions from Cheminformatics -- 6.Conclusions -- Acknowledgments -- References -- 18.Microstructure Informatics / Surya R. Kalidindi -- 1.Introduction -- 2.Microstructure Quantification Using Higher-Order Spatial Correlations -- 3.Objective Reduced-Order Representation of Microstructure -- 4.Data Science-Enabled Formulation of Structure-Property-Processing (SPP) Linkages -- 5.Computationally Efficient Scale-Bridging for Multiscale Materials Modeling -- 6.Further Reading -- Acknowledgments -- References -- 19.Artworks and Cultural Heritage Materials: Using Multivariate Analysis to Answer Conservation Questions / Carl Villis -- 1.Rock Art Petroglyphs Examined with Reflectance NIR Spectroscopy and PCA -- 2.Adhesives Study of Cypriot Pottery Collection with FTIR Spectroscopy and PCA --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents note continued: 3.Egyptian Sarcophagus Examined with ToF-SIMS, XANES, and PCA -- 4.Attribution Studies of an Italian Renaissance Painting: ESEM Imaging -- 5.Ochre Pigments Imaged Using Synchrotron XRF -- 6.General Summary and Conclusions -- References -- 20.Data Intensive Imaging and Microscopy: A Multidimensional Data Challenge / Krishna Rajan -- 1.Introduction -- 2.Chemical Imaging in Materials Science: Linking Signal and Spatial Domains -- 3.Contrast Mining in Spectroscopy: Tracking Processing-Property Relationships -- 4.Further Reading -- References.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Materials science
General subdivision Data processing.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rajan, Krishna,
Relator term editor.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type General Collection
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
    Library of Congress Classification     Main Campus Library Main Campus Library General Stacks 17/06/2021 1 TA404.23 R35 2013 00024349 21/02/2022 15/02/2022 17/06/2021 General Collection