Information Science for Materials Discovery and Design

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lookman, Turab (Επιμελητής έκδοσης), Alexander, Francis J. (Επιμελητής έκδοσης), Rajan, Krishna (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Springer Series in Materials Science, 225
• Θέματα: Materials science.; Data mining.; Statistical physics.; Dynamical systems.; Engineering > Materials.; Nanotechnology.; Materials Science.; Materials Engineering.; Data Mining and Knowledge Discovery.; Statistical Physics, Dynamical Systems and Complexity.; Characterization and Evaluation of Materials.

This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine...

Πίνακας περιεχομένων:

• From the Contents: Introduction
• Data-Driven Discovery of Physical, Chemical, and Pharmaceutical Materials
• Cross-Validation and Inference in Bioinformatics/Cancer Genomics
• Applying MQSPRs - New Challenges and Opportunities.