TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN

Ph.D

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Bibliographic Details
Main Author:	TIAN SIYU
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2022
Subjects:	machine learning, materials representation, property prediction, inverse design, structure-property relationship, materials science
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/235377
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-235377
record_format	dspace
spelling	sg-nus-scholar.10635-2353772022-12-06T18:00:23Z TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN TIAN SIYU ELECTRICAL & COMPUTER ENGINEERING Armin Gerhard Aberle TONIO BUONASSISI Qianxiao Li machine learning, materials representation, property prediction, inverse design, structure-property relationship, materials science Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2022-12-06T18:00:23Z 2022-12-06T18:00:23Z 2022-08-15 Thesis TIAN SIYU (2022-08-15). TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/235377 0000-0002-8709-1798 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	machine learning, materials representation, property prediction, inverse design, structure-property relationship, materials science
spellingShingle	machine learning, materials representation, property prediction, inverse design, structure-property relationship, materials science TIAN SIYU TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN
description	Ph.D
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING TIAN SIYU
format	Theses and Dissertations
author	TIAN SIYU
author_sort	TIAN SIYU
title	TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN
title_short	TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN
title_full	TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN
title_fullStr	TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN
title_full_unstemmed	TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN
title_sort	toward general solid-state materials representation for data-driven property prediction and inverse design
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/235377
_version_	1751548485071536128

TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN

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