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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...

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.

Emigration in 21st-Century India is the first definitive exposition of contemporary Indian labour migration. The book provides a comprehensive appraisal of the policies, legislation and institutional architecture governing emigration at both federal and state levels. It posits that, geographically, emigration is now a more inclusive, pan-India phenomenon with many distinct features.

It draws critical attention to the multiple dualities in Indian emigration, showing how the artificial distinction between a universal pravasi ('expatriate' or 'migrant') and a...

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...