Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods - Prasanna V. Balachandran,James E. Gubernatis,Turab Lookman,Ghanshyam Pilania
Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman, Ghanshyam Pilania
-40% koodiga BOOKS
Saadetis 12-18 tööpäeva jooksul
30-päevane tagastamisõigus
Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss ... Täielik kirjeldus
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Kirjeldus
Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.
Lisateave
| Autor | Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman, Ghanshyam Pilania |
|---|---|
| Kirjastaja | Springer Nature Switzerland |
| Series | Synthesis Lectures on Materials and Optics |
| Väljalaskeaasta | 2020 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783031012556 |