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

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

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Superior document:Linköping Studies in Science and Technology. Dissertations Series ; v.1868
:
Lindmaa, Alexander.
Place / Publishing House:Linköping : : Linkopings Universitet,, 2017.
{copy}2017.
Year of Publication:2017
Edition:1st ed.
Language:English
Series:Linköping Studies in Science and Technology. Dissertations Series
Online Access:
Physical Description:1 online resource (81 pages)
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(OCoLC)1002019150
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record_format marc
spelling Lindmaa, Alexander.
Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.
1st ed.
Linköping : Linkopings Universitet, 2017.
{copy}2017.
1 online resource (81 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Linköping Studies in Science and Technology. Dissertations Series ; v.1868
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.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Print version: Lindmaa, Alexander Theoretical Prediction of Properties of Atomistic Systems Linköping : Linkopings Universitet,c2017
ProQuest (Firm)
Linköping Studies in Science and Technology. Dissertations Series
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4981427 Click to View
language English
format eBook
author Lindmaa, Alexander.
spellingShingle Lindmaa, Alexander.
Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.
Linköping Studies in Science and Technology. Dissertations Series ;
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.
author_facet Lindmaa, Alexander.
author_variant a l al
author_sort Lindmaa, Alexander.
title Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.
title_sub Density Functional Theory and Machine Learning.
title_full Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.
title_fullStr Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.
title_full_unstemmed Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.
title_auth Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.
title_new Theoretical Prediction of Properties of Atomistic Systems :
title_sort theoretical prediction of properties of atomistic systems : density functional theory and machine learning.
series Linköping Studies in Science and Technology. Dissertations Series ;
series2 Linköping Studies in Science and Technology. Dissertations Series ;
publisher Linkopings Universitet,
publishDate 2017
physical 1 online resource (81 pages)
edition 1st ed.
contents 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.
isbn 9789176854860
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4981427
illustrated Not Illustrated
oclc_num 1002019150
work_keys_str_mv AT lindmaaalexander theoreticalpredictionofpropertiesofatomisticsystemsdensityfunctionaltheoryandmachinelearning
status_str n
ids_txt_mv (MiAaPQ)5004981427
(Au-PeEL)EBL4981427
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(OCoLC)1002019150
carrierType_str_mv cr
hierarchy_parent_title Linköping Studies in Science and Technology. Dissertations Series ; v.1868
is_hierarchy_title Theoretical Prediction of Properties of Atomistic Systems : Density Functional Theory and Machine Learning.
container_title Linköping Studies in Science and Technology. Dissertations Series ; v.1868
marc_error Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ]
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