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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

Pilania, Ghanshyam
Balachandran, Prasanna V.
Gubernatis, James E.

Paperback

Series: Synthesis Lectures on Materials and Optics

Technology & EngineeringPhysics

ISBN10: 3031012550
ISBN13: 9783031012556
Publisher: Springer Nature
Published: Mar 6 2020
Pages: 172
Weight: 0.75
Height: 0.41 Width: 7.50 Depth: 9.25
Language: English
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.

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