Gathering leading specialists in the field of structure prediction, this book provides a unique view of this complex and rapidly developing field, reflecting the numerous viewpoints of the different authors. The book summarises the major achievements of the last few years and also discusses the challenges that are still remaining.

FROM THE CONTENTS: Introduction: the problem and some basic conceptsPeriodic-graph approaches in crystal structure predictionEnergy landscapes and structure prediction using basin-hoppingRandom and quasirandom sampling methodsPredicting solid compounds using simulated annealingSimulation of structural phase transitions in crystals: the metadynamics approachMinima Hopping MethodsEvolutionary Algorithms for Crystal Structure PredictionPathways of Structural Transformations in Reconstructive Phase Transitions: Insights from Transition Path Sampling Molecular DynamicsAppendix "Blind Test" for Inorganic Structure Prediction

New technologies are made possible by new materials, and until recently new materials could only be discovered experimentally. Recent advances in solving the crystal structure prediction problem means that the computational design of materials is now a reality. Computational Materials Discovery provides a comprehensive review of this field covering different computational methodologies as well as specific applications of materials design. The book starts by illustrating how and why first-principle calculations have gained importance in the process of materials discovery. The book is then split into three sections, the first exploring different approaches and ideas including crystal structure prediction from evolutionary approaches, data mining methods and applications of machine learning. Section two then looks at examples of designing specific functional materials with special technological relevance for example photovoltaic materials, superconducting materials, topological insulators and thermoelectric materials. The final section considers recent developments in creating low-dimensional materials. With contributions from pioneers and leaders in the field, this unique and timely book provides a convenient entry point for graduate students, researchers and industrial scientists on both the methodologies and applications of the computational design of materials.