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1 Lookman, Turab Frustrated Materials and Ferroic Glasses I09153 2018 eBook  
2 Lookman, Turab Materials Discovery and Design I08650 2018 eBook  
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TitleFrustrated Materials and Ferroic Glasses
Author(s)Lookman, Turab;Ren, Xiaobing
PublicationCham, Springer International Publishing, 2018.
DescriptionXIII, 276 p. 153 illus., 133 illus. in color : online resource
Abstract NoteThis book provides a comprehensive introduction to ferroics and frustrated materials. Ferroics comprise a range of materials classes with functionalities such as magnetism, polarization, and orbital degrees of freedom and strain. Frustration, due to geometrical constraints, and disorder, due to chemical and/or structural inhomogeneities, can lead to glassy behavior, which has either been directly observed or inferred in a range of materials classes from model systems such as artificial spin ice, shape memory alloys, and ferroelectrics to electronically functional materials such as manganites. Interesting and unusual properties are found to be associated with these glasses and have potential for novel applications. Just as in prototypical spin glass and structural glasses, the elements of frustration and disorder lead to non-ergodocity, history dependence, frequency dependent relaxation behavior, and the presence of inhomogeneous nano clusters or domains. In addition, there are new states of matter, such as spin ice; however, it is still an open question as to whether these systems belong to the same family or universality class. The purpose of this work is to collect in a single volume the range of materials systems with differing functionalities that show many of the common characteristics of geometrical frustration, where interacting degrees of freedom do not fit in a lattice or medium, and glassy behavior is accompanied by additional presence of disorder. The chapters are written by experts in their fields and span experiment and theory, as well as simulations. Frustrated Materials and Ferroic Glasses will be of interest to a wide range of readers in condensed matter physics and materials science. Brings together experts in glasses, geometrical frustration, and functional materials Covers theory, experiment, and simulations of ferroics Features an easy-to-read introduction in each chapter to make specialized topics accessible to a broad readership in condensed matter physics and materials science
ISBN,Price9783319969145
Keyword(s)1. Ceramics 2. Ceramics, Glass, Composites, Natural Materials 3. Composite materials 4. Composites (Materials) 5. EBOOK 6. EBOOK - SPRINGER 7. Electronic materials 8. GLASS 9. MAGNETIC MATERIALS 10. MAGNETISM 11. Magnetism, Magnetic Materials 12. Nanochemistry 13. NANOTECHNOLOGY 14. Nanotechnology and Microengineering 15. Optical and Electronic Materials 16. OPTICAL MATERIALS 17. SOLID STATE PHYSICS
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I09153     On Shelf    

2.    
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TitleMaterials Discovery and Design : By Means of Data Science and Optimal Learning
Author(s)Lookman, Turab;Eidenbenz, Stephan;Alexander, Frank;Barnes, Cris
PublicationCham, Springer International Publishing, 2018.
DescriptionXVI, 256 p. 98 illus., 88 illus. in color : online resource
Abstract NoteThis book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.
ISBN,Price9783319994659
Keyword(s)1. Characterization and Evaluation of Materials 2. Computational Science and Engineering 3. Computer mathematics 4. DATA MINING 5. Data Mining and Knowledge Discovery 6. EBOOK 7. EBOOK - SPRINGER 8. Engineering???Materials 9. Materials Engineering 10. MATERIALS SCIENCE 11. NUMERICAL ANALYSIS 12. Numerical and Computational Physics, Simulation 13. PHYSICS
Item TypeeBook
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I08650     On Shelf    

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