Gava E Gava & Sezgin Ergin Sezgin 
High Energy Physics And Cosmology – Proceedings Of The 1991 Summer School (In 2 Volumes) [PDF ebook] 

A comprehensive introduction to the theory of special relativity for undergraduates.

• Based on the highly regarded textbook Relativity and High Energy Physics
• Includes numerous worke …

This book provides an interdisciplinary guide to quasicrystals, the 2011 Nobel Prize in Chemistry winning topic, by presenting an up-to-date and detailed introduction to the many fundamental aspects …

Cutting across traditional subject boundaries, Principles of Ecotoxicology, Fourth Edition gives readers an integrated view of ecotoxicology, from molecules to ecosystems. This new edition of a bests …

Originally published in 1979. This reprints the revised and expanded edition of 1996. In this volume, physicists, biologists and chemists, who have been involved in some of the most exciting discover …

A Comprehensive Source for Taking on the Next Stage of OLED R&DOLED Fundamentals: Materials, Devices, and Processing of Organic Light-Emitting Diodes brings together key topics across the field of or …

Plasmonic resonators, composed of metallic micro- and nanostructures, belong to the category of excited-state physics on resonances from gigahertz to petahertz. Dynamical physics is in contrast to gr …

Written by a leading expert in the field, the paperback edition of Industrial Plasma Engineering, Volume 2: Applications to Nonthermal Plasma Processing provides a background in the principles and ap …

Many argue that telecommunications network infrastructure is the most impressive and important technology ever developed. Analyzing the telecom market’s constantly evolving trends, research direction …

Because of the favorable characteristics of solid-state lasers, they have become the preferred candidates for a wide range of applications in science and technology, including spectroscopy, atmospher …

A variety of evolutionary sequences of models for the solar interior has been computed, corresponding to variations in input data, to obtain some idea of the uncertainties involved in predicting a so …