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Materials Informatics

Methods, Tools, and Applications

Olexandr Isayev, Alexander Tropsha, Stefano Curtarolo (Herausgeber)

Buch | Hardcover

304 Seiten

2019 | 1. Auflage
Wiley-VCH (Verlag)
978-3-527-34121-4 (ISBN)

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Provides everything readers need to know for applying the power of informatics to materials scienceThere is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials. Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others. -Bridges the gap between materials science and informatics-Covers all the known methodologies and applications of materials informatics-Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials -Examines the state-of-the-art software and tools being used todayMaterials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.

Olexandr Isayev, PhD, is Assistant Professor at UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill. Alexander Tropsha, PhD, is K.H. Lee Distinguished Professor and Associate Dean for Pharmacoinformatics and Data Science at the UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill. Stefano Curtarolo, PhD, is Professor in Materials Science, Electrical Engineering, and Physics and Director of the Center for Materials Genomics at Duke University, North Carolina.

Crystallography open database: history, development, perspectives
The Inorganic Crystal Structure Database: A tool for material sciences
PAULING FILE - Towards a holistic view
From topological descriptors to expert systems: a route to predictable materials
A high-throughput computational study driven by the AiiDA materials informatics framework and the PAULING FILE as reference database
Modeling materials quantum properties with machine learning
Automated computation of materials properties
Cognitive Chemistry? The marriage of machine learning and chemistry to accelerate materials discovery
Machine learning interatomic potentials for global optimization and molecular dynamics simulation

Erscheinungsdatum	10.10.2019
Verlagsort	Weinheim
Sprache	englisch
Maße	170 x 244 mm
Gewicht	756 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Naturwissenschaften ► Chemie
	Technik ► Maschinenbau
Schlagworte	Chemical Informatics • Chemie • Cheminformatik • Chemistry • Computer Science • crystallography • Data Mining & Knowledge Discovery • Data Mining u. Knowledge Discovery • Informatik • Kristallographie • Materials Science • Materialwissenschaften • Materialwissenschaften / Theorie, Modellierung u. • Materialwissenschaften / Theorie, Modellierung u. Simulation • Theory, Modeling & Simulation
ISBN-10	3-527-34121-8 / 3527341218
ISBN-13	978-3-527-34121-4 / 9783527341214
Zustand	Neuware