Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/235377
Title: TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN
Authors: TIAN SIYU
ORCID iD:   orcid.org/0000-0002-8709-1798
Keywords: machine learning, materials representation, property prediction, inverse design, structure-property relationship, materials science
Issue Date: 15-Aug-2022
Citation: TIAN SIYU (2022-08-15). TOWARD GENERAL SOLID-STATE MATERIALS REPRESENTATION FOR DATA-DRIVEN PROPERTY PREDICTION AND INVERSE DESIGN. ScholarBank@NUS Repository.
URI: https://scholarbank.nus.edu.sg/handle/10635/235377
Appears in Collections:Ph.D Theses (Closed)

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