OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS

Ph.D

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Bibliographic Details
Main Author:	DANIIL BASH
Other Authors:	CHEMISTRY
Format:	Theses and Dissertations
Language:	English
Published:	2023
Subjects:	high-throughput, hybrid composites, optimization, electrical conductivity, machine learning, parameter space
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/241459
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-241459
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spelling	sg-nus-scholar.10635-2414592023-05-31T18:00:24Z OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS DANIIL BASH CHEMISTRY Guillermo Carlos Bazan Konstantin Sergeevich Novoselov high-throughput, hybrid composites, optimization, electrical conductivity, machine learning, parameter space Ph.D DOCTOR OF PHILOSOPHY (FOS) 2023-05-31T18:00:24Z 2023-05-31T18:00:24Z 2022-04-22 Thesis DANIIL BASH (2022-04-22). OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/241459 0000-0001-8979-7228 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	high-throughput, hybrid composites, optimization, electrical conductivity, machine learning, parameter space
spellingShingle	high-throughput, hybrid composites, optimization, electrical conductivity, machine learning, parameter space DANIIL BASH OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS
description	Ph.D
author2	CHEMISTRY
author_facet	CHEMISTRY DANIIL BASH
format	Theses and Dissertations
author	DANIIL BASH
author_sort	DANIIL BASH
title	OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS
title_short	OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS
title_full	OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS
title_fullStr	OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS
title_full_unstemmed	OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS
title_sort	optimization of composition and properties of hybrid electronic composites using machine learning-assisted high-throughput experiments
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/241459
_version_	1770563111144652800

OPTIMIZATION OF COMPOSITION AND PROPERTIES OF HYBRID ELECTRONIC COMPOSITES USING MACHINE LEARNING-ASSISTED HIGH-THROUGHPUT EXPERIMENTS

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