Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/235377
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dc.titleTOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN
dc.contributor.authorTIAN SIYU
dc.date.accessioned2022-12-06T18:00:23Z
dc.date.available2022-12-06T18:00:23Z
dc.date.issued2022-08-15
dc.identifier.citationTIAN SIYU (2022-08-15). TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/235377
dc.language.isoen
dc.subjectmachine learning, materials representation, property prediction, inverse design, structure-property relationship, materials science
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorArmin Gerhard Aberle
dc.contributor.supervisorTONIO BUONASSISI
dc.contributor.supervisorQianxiao Li
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (CDE-ENG)
dc.identifier.orcid0000-0002-8709-1798
Appears in Collections:Ph.D Theses (Closed)

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