Data-Based Methods for Materials Design and Discovery

Basic Ideas and General Methods

By: Ghanshyam Pilania, Turab Lookman, Prasanna V. Balachandran, James E. Gubernatis

Write A Review

Paperback | 6 March 2020

At a Glance

Paperback
192 Pages

Dimensions(cm)
23.5 x 19.08 x 1.04

Paperback

$84.99

or 4 interest-free payments of $21.25 with

or

Ships in 5 to 7 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.