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   Electron-phonon interactions from first principles
Posted on 2016-06-17 (Send to a Friend Send to a Friend )
This article reviews the theory of electron-phonon interactions in solids from the point of view of ab-initio calculations. While the electron-phonon interaction has been studied for almost a century, predictive non-empirical calculations have become feasible only during the past two decades. Today it is possible to calculate from first principles many materials properties related to the electron-phonon interaction, including the critical temperature of conventional superconductors, the carrier mobility in semiconductors, the temperature depend . . . .
 
 
   Response Theory of the Electron-Phonon Coupling
Posted on 2016-06-16 (Send to a Friend Send to a Friend )
This article presents a systematic theoretical enquiry concerning the conceptual foundations and the nature of phonon-mediated electron-electron interactions. Starting from the fundamental many-body Hamiltonian, we propose a simple scheme to decouple the electrons and nuclei of a crystalline solid via effective interactions. These effective interactions, which we express in terms of linear response functions, are completely symmetric between electrons and nuclei. Correspondingly, we derive concrete formulae for both the effective electron inte . . . .
 
 
  Network Science
Posted on 2016-05-23 (Send to a Friend Send to a Friend )
Network Science Networks are everywhere, from the Internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience. From the origins of the six degrees of separation to explaining why networks are robust to random failures, the author explores how viruses like Ebola and H1N1 spread, and why it i . . . .
 
 
  Pattern Recognition and Machine Learning
Posted on 2016-05-12 (Send to a Friend Send to a Friend )
This new textbook reflects these recent developments while providing a compre- hensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or ma- chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not es- sential as the book includes a self-contai . . . .
 
 
  Statistical Learning and Sequential Prediction
Posted on 2016-05-11 (Send to a Friend Send to a Friend )
1 About This course will focus on theoretical aspects of Statistical Learning and Sequential Prediction . Until recently, these two subjects have been treated separately within the learning community. The course will follow a unified approach to analyzing learning in both scenarios. To make this happen, we shall bring together ideas from probability and statistics, game theory, algorithms, and optimization. It is this blend of ideas that makes the subject interesting for us, and we hope to convey the excitement. We shall tr . . . .
 
 
  An Introduction to Statistical Learning: with Applications in R
Posted on 2016-05-09 (Send to a Friend Send to a Friend )
An Introduction  to Statistical  Learning: with Applications in R One of the first books in this area— The Elements of Statistical Learning (ESL) (Hastie, Tibshirani, and Friedman)—was published in 2001, with a second edition in 2009. ESL has become a popular text not only in statis- tics but also in related fields. One of the reasons for ESL’s popularity is its relatively accessible style. But ESL is intended for individuals with ad- vanced training in the mathematical sciences. An Introduction to Statistical Learning (ISL) arose from the perceived need for a broader and less tech- nical treatment . . . .
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