Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.

Bibliographic Details
Main Author: Lindmaa, Alexander.
Format: eBook
Language:English
Published: Linköping : Linkopings Universitet, 2017.
Edition:1st ed.
Series:Linköping Studies in Science and Technology. Dissertations Series
Subjects:
Online Access:Click to View
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245 1 0 |a Theoretical Prediction of Properties of Atomistic Systems :  |b Density Functional Theory and Machine Learning. 
250 |a 1st ed. 
264 1 |a Linköping :  |b Linkopings Universitet,  |c 2017. 
264 4 |c {copy}2017. 
300 |a 1 online resource (81 pages) 
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490 1 |a Linköping Studies in Science and Technology. Dissertations Series ;  |v v.1868 
505 0 |a Intro -- Abstract -- Svensk sammanfattning -- Preface -- CONTENTS -- ACRONYMS -- INTRODUCTION -- DENSITY FUNCTIONAL THEORY -- MODEL SYSTEM APPROACH TO KINETIC ENERGY FUNCTIONALS -- PROPERTIES OF THE AK13 E XCHANGE FUNCTIONAL -- MACHINE LEARNING -- CONCLUSIONS -- APPENDIX -- BIBLIOGRAPHY -- LIST OF FIGURES -- LIST OF PUBLICTIONS AND MY CONTRIBUTION. 
588 |a Description based on publisher supplied metadata and other sources. 
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.  
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Lindmaa, Alexander  |t Theoretical Prediction of Properties of Atomistic Systems  |d Linköping : Linkopings Universitet,c2017 
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