informatics for materials science and engineering data driven discovery for accelerated experimentation and application

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Informatics For Materials Science And Engineering

Author : Krishna Rajan
ISBN : 9780123946140
Genre : Technology & Engineering
File Size : 52. 32 MB
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Materials informatics: a ‘hot topic’ area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis. The discovery and maturation of new materials has been outpaced by the thicket of data created by new combinatorial and high throughput analytical techniques. The elaboration of this "quantitative avalanche"—and the resulting complex, multi-factor analyses required to understand it—means that interest, investment, and research are revisiting informatics approaches as a solution. This work, from Krishna Rajan, the leading expert of the informatics approach to materials, seeks to break down the barriers between data management, quality standards, data mining, exchange, and storage and analysis, as a means of accelerating scientific research in materials science. This solutions-based reference synthesizes foundational physical, statistical, and mathematical content with emerging experimental and real-world applications, for interdisciplinary researchers and those new to the field. Identifies and analyzes interdisciplinary strategies (including combinatorial and high throughput approaches) that accelerate materials development cycle times and reduces associated costs Mathematical and computational analysis aids formulation of new structure-property correlations among large, heterogeneous, and distributed data sets Practical examples, computational tools, and software analysis benefits rapid identification of critical data and analysis of theoretical needs for future problems

Materials Science And Engineering

Author : Duane D. Johnson
ISBN : 9780128059449
Genre : Technology & Engineering
File Size : 79. 68 MB
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We exemplify and propose extending the use of genetic programs (GPs) – a genetic algorithm (GA) that evolves computer programs via mechanisms similar to genetics and natural selection – to symbolically regress key functional relationships between materials data, especially from electronic structure. GPs can extract structure–property relations or enable simulations across multiple scales of time and/or length. Uniquely, GP-based regression permits “data discovery” – finding relevant data and/or extracting correlations (data reduction/data mining) – in contrast to searching for what you know, or you think you know (intuition). First, catalysis-related materials correlations are discussed, where simple electronic-structure-based rules are revealed using well-developed intuition, and then, after introducing the concepts, GP regression is used to obtain (i) a constitutive relation between flow stress and strain rate in aluminum, and (ii) multi-time-scale kinetics for surface alloys. We close with some outlook for a range of applications (materials discovery, excited-state chemistry, and multiscaling) that could rely primarily on density functional theory results.

Hierarchical Materials Informatics

Author : Surya R. Kalidindi
ISBN : 9780124104556
Genre : Technology & Engineering
File Size : 36. 99 MB
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Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to cover unimaginably large dimensional spaces. Hierarchical Materials Informatics addresses objective, computationally efficient, mining of large ensembles of experimental and modeling datasets to extract this core materials knowledge. Furthermore, it aims to organize and present this high value knowledge in highly accessible forms to end users engaged in product design and design for manufacturing efforts. As such, this emerging field has a pivotal role in realizing the goals outlined in current strategic national initiatives such as the Materials Genome Initiative (MGI) and the Advanced Manufacturing Partnership (AMP). This book presents the foundational elements of this new discipline as it relates to the design, development, and deployment of hierarchical materials critical to advanced technologies. Addresses a critical gap in new materials research and development by presenting a rigorous statistical framework for the quantification of microstructure Contains several case studies illustrating the use of modern data analytic tools on microstructure datasets (both experimental and modeling)

Materials Science And Engineering

Author : Krishna Rajan
ISBN : 9780128059319
Genre : Technology & Engineering
File Size : 46. 19 MB
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Studying structure–property relationships is an accepted paradigm in materials science, yet these relationships are often not linear and the challenge is to seek patterns among multiple length and time scales. There is rarely a single multiscale theory or experiment that can meaningfully and accurately capture such information. In this chapter we introduce the rationale as to why we need informatics by briefly summarizing the challenges of information complexity one has to deal with in material science, in order to systematically establish structure–property–processing relationships. Some of the concepts and topics to be covered in this book are introduced, including information networks, data mining, databases, and combinatorial experiments to mention a few. The value of “materials informatics” lies in its ability to permit one to survey complex, multiscale information in a high-throughput, statistically robust and yet physically meaningful manner.

Information Science For Materials Discovery And Design

Author : Turab Lookman
ISBN : 9783319238715
Genre : Technology & Engineering
File Size : 45. 56 MB
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This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. 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. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new materials. Accelerating discovery relies on using large databases, computation, and mathematics in the material sciences in a manner similar to the way used to in the Human Genome Initiative. Novel approaches are therefore called to explore the enormous phase space presented by complex materials and processes. To achieve the desired performance gains, a predictive capability is needed to guide experiments and computations in the most fruitful directions by reducing not successful trials. Despite advances in computation and experimental techniques, generating vast arrays of data; without a clear way of linkage to models, the full value of data driven discovery cannot be realized. Hence, along with experimental, theoretical and computational materials science, we need to add a “fourth leg’’ to our toolkit to make the “Materials Genome'' a reality, the science of Materials Informatics.

Annual Review Of Materials Research

Author :
ISBN : UOM:39076002737984
Genre : Electronic journals
File Size : 35. 26 MB
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Materials Selection In Mechanical Design Das Original Mit Bersetzungshilfen

Author : Michael F. Ashby
ISBN : 3827417627
Genre : Technology & Engineering
File Size : 71. 19 MB
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Das englischsprachige, weltweit anerkannte Standardwerk zur Werkstoffauswahl - als neuer Buchtyp speziell für die Bedürfnisse deutschsprachiger Leser angepasst! Der Zusatznutzen, den dieses Buch bietet ist das Lesen und Lernen im englischen Original zu erleichtern und gleichzeitig in die spezielle Fachterminologie einzuführen und zwar durch: - Übersetzungshilfen in der Randspalte zur Fachterminologie und zu schwierigen normalsprachlichen Ausdrücken - Ein zweisprachiges Fachwörterbuch zum raschen Nachschlagen

Data Mining

Author : Ian H. Witten
ISBN : 3446215336
Genre :
File Size : 37. 42 MB
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Der Einfache Weg Zu Einem Langen Leben

Author : David B. Agus
ISBN : 9783492966009
Genre : Health & Fitness
File Size : 71. 64 MB
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Jeder Mensch kann etwas dafür tun, ein möglichst langes und gesundes Leben zu führen – und das ist gar nicht schwer! Auf der Basis aktuellster medizinischer Forschungsergebnisse zeigt der vielfach ausgezeichnete Arzt David B. Agus leicht verständlich und für jeden umsetzbar, wie wir unsere Gesundheit selbst in die Hand nehmen können. Welche Lebensmittel uns gut tun, welche Rolle Routinen in unserem Alltag spielen sollten, welches Maß an Bewegung am gesündesten ist und welche Vorsorgeuntersuchungen in den jeweiligen Altersgruppen tatsächlich sinnvoll sind. Das handliche Praxisbuch zu seinem Bestseller »Leben ohne Krankheit«, in dem die Prävention eine zentrale Rolle spielt – ein Augenöffner und eine praktische Anleitung, das Beste für sich selbst zu tun.

Kristallplastizit T

Author : Erich Schmid
ISBN : 9783662345320
Genre : Technology & Engineering
File Size : 39. 90 MB
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Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.

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