Information Science for Materials Discovery and Design, Lookman Turab, Alexander Francis J., Rajan Krishna
Автор: Mcnally Название: Soil and Rock Construction Materials ISBN: 1138470414 ISBN-13(EAN): 9781138470415 Издательство: Taylor&Francis Рейтинг: Цена: 20365.00 р. 29093.00-30% Наличие на складе: Есть (2 шт.) Описание: An introduction to the investigation, extraction, processing and specification of natural soil and rock materials, with an emphasis on why particular material properties are sought and how they may be modified.
Автор: David Segal Название: Exploring Materials Through Patent Information ISBN: 1782621121 ISBN-13(EAN): 9781782621126 Издательство: Royal Society of Chemistry Рейтинг: Цена: 5278.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A guide for students on how to use patents as a source of information using different materials as case studies.
Автор: Manuel Kretzer Название: Information Materials ISBN: 331981737X ISBN-13(EAN): 9783319817378 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Поставка под заказ.
Описание: This book considers the potential of new, smart materials and their use in architecture.
Автор: V.K. Jain Название: Micromanufacturing Processes ISBN: 1138076422 ISBN-13(EAN): 9781138076426 Издательство: Taylor&Francis Рейтинг: Цена: 9645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Increased demand for and developments in micromanufacturing have created a need for a resource that covers both the science and technology of this rapidly growing area. With contributions from eminent professors and researchers actively engaged in teaching, research, and development, Micromanufacturing Processes details the basic principles, tools, techniques, and latest advances in micromanufacturing processes. It includes coverage of measurement techniques and research trends as well as a large number of cross-references, making it useful to the students and researchers alike.
The book outlines the challenges faced not only in micromanufacturing but also in meso- and nanomanufacturing, exploring topics such as micromachining, micro welding, microforming, micromolding, nanofinishing and micro-/nano-metrology. It includes examples that demonstrate the capabilities of fabricating micro- / nano-products and micro- / nano-features on the macro and micro products. The text also discusses nanofinishing techniques giving surface finish in the domain of sub-nano level, micro welding techniques, namely, laser beam micro welding, electron beam micro welding, micro / nano patterning in large quantities, and micro / nano metrology principles and equipments. It goes on to describe devices such as nano spring, micro mixer, micro cantilever, to name just a few.
Unique in its level of coverage, the book highlights new challenges in manufacturing and covers several different types of micromanufacturing processes, such as micromachining, microforming, microcasting, microjoining, nanofinishing, and micrometrology. The level of details, extensive references, figures, and diagrams make the book a reference that will become the standard for this field.
Автор: Turab Lookman; Francis J. Alexander; Krishna Rajan Название: Information Science for Materials Discovery and Design ISBN: 3319238701 ISBN-13(EAN): 9783319238708 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties.
Автор: Miroslav Bursa et al Название: Information Technology in Bio- and Medical Informatics ISBN: 3319642642 ISBN-13(EAN): 9783319642642 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2017, held in Lyon, France, in August 2017. The 3 revised full papers and 6 poster papers presented were carefully reviewed and selected from 15 submissions.
Автор: Turab Lookman Название: Materials Discovery and Design ISBN: 3319994646 ISBN-13(EAN): 9783319994642 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This 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.
Автор: Turab Lookman; Stephan Eidenbenz; Frank Alexander; Название: Materials Discovery and Design ISBN: 3030076024 ISBN-13(EAN): 9783030076023 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This 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.
Автор: Pilania, Ghanshyam Balachandran, Prasanna V. Gubernatis, James E. Lookman, Turab Название: Data-based methods for materials design and discovery ISBN: 168173737X ISBN-13(EAN): 9781681737379 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11365.00 р. Наличие на складе: Нет в наличии.
Описание: Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.
Описание: Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.
Автор: Ehrenfried Zschech; Caroline Whelan; Thomas Mikola Название: Materials for Information Technology ISBN: 1849969671 ISBN-13(EAN): 9781849969673 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an up to date survey of the state of the art of research into the materials used in information technology, and will be bought by researchers in universities, institutions as well as research workers in the semiconductor and IT industries.
This proceedings consists of fifty one selected papers presented at the 2015 International Workshop on Materials, Manufacturing Technology, Electronics and Information Science (MMTEI2015), which was successfully held in Wuhan, China during October 9-11, 2015.
MMTEI2015 covered a wide range of fundamental studies, technical innovations and industrial applications in the 4 areas, namely Material Science and Application, Mechanical Engineering and Mechatronics, Electronics Engineering and Microelectronics, and Information Science.
This workshop aims to provide a forum for scientists, scholars, engineers and students from universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between universities and the industry. All accepted papers were subjected to a strict peer-review process by 2-3 expert referees.
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