Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning

In this study, machine learning is used in conjunction with a proxy experiment to relate to high fidelity empirical data to measure and predict viscosity of materials in a rapid, and high throughput fashion. This paper details both the proxy and high-fidelity experiments focusing only on viscometry...

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Main Author: Chua, Zhong Zhe
Other Authors: Kedar Hippalgaonkar
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/147685
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1476852023-03-04T15:45:02Z Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning Chua, Zhong Zhe Kedar Hippalgaonkar School of Materials Science and Engineering kedar@ntu.edu.sg Engineering::Materials::Testing of materials In this study, machine learning is used in conjunction with a proxy experiment to relate to high fidelity empirical data to measure and predict viscosity of materials in a rapid, and high throughput fashion. This paper details both the proxy and high-fidelity experiments focusing only on viscometry and how computation is used to find a relationship between the proxy and high-fidelity experiments. This method is time efficient and economical in the long run, only requiring initial efforts to setup a base standard for future predictive work. Bachelor of Engineering (Materials Engineering) 2021-04-11T12:42:55Z 2021-04-11T12:42:55Z 2021 Final Year Project (FYP) Chua, Z. Z. (2021). Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147685 https://hdl.handle.net/10356/147685 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Materials::Testing of materials
spellingShingle Engineering::Materials::Testing of materials
Chua, Zhong Zhe
Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning
description In this study, machine learning is used in conjunction with a proxy experiment to relate to high fidelity empirical data to measure and predict viscosity of materials in a rapid, and high throughput fashion. This paper details both the proxy and high-fidelity experiments focusing only on viscometry and how computation is used to find a relationship between the proxy and high-fidelity experiments. This method is time efficient and economical in the long run, only requiring initial efforts to setup a base standard for future predictive work.
author2 Kedar Hippalgaonkar
author_facet Kedar Hippalgaonkar
Chua, Zhong Zhe
format Final Year Project
author Chua, Zhong Zhe
author_sort Chua, Zhong Zhe
title Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning
title_short Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning
title_full Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning
title_fullStr Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning
title_full_unstemmed Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning
title_sort accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/147685
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