Materials Informatics
Wiley-VCH (Verlag)
978-3-527-34121-4 (ISBN)
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 |
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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 |
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