Data-Based Methods for Materials Design and Discovery (Record no. 85114)

000 -LEADER
fixed length control field 02995nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-031-02383-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163914.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031023835
-- 978-3-031-02383-5
082 04 - CLASSIFICATION NUMBER
Call Number 621,366
100 1# - AUTHOR NAME
Author Pilania, Ghanshyam.
245 10 - TITLE STATEMENT
Title Data-Based Methods for Materials Design and Discovery
Sub Title Basic Ideas and General Methods /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 172 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Materials and Optics,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- Acknowledgments -- Introduction -- Materials Representations -- Learning with Large Databases -- Learning with Small Databases -- Multi-Objective Learning -- Multi-Fidelity Learning -- Some Closing Thoughts -- Authors' Biographies.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Balachandran, Prasanna V.
700 1# - AUTHOR 2
Author 2 Gubernatis, James E.
700 1# - AUTHOR 2
Author 2 Lookman, Turab.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02383-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
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-- text
-- txt
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-- computer
-- c
-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Lasers.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Materials science.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Laser.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Materials Science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2691-1949
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-- ZDB-2-SXSC

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