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In silico toxicity prediction (ISTP) as a means of screening species for materials science and engineering

Research output: Thesis › Master's Thesis

Published

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In silico toxicity prediction (ISTP) as a means of screening species for materials science and engineering. / Shah, Sidra.
Lancaster University, 2023. 113 p.

Research output: Thesis › Master's Thesis

Harvard

Shah, S 2023, 'In silico toxicity prediction (ISTP) as a means of screening species for materials science and engineering', Masters by Research, Lancaster University. https://doi.org/10.17635/lancaster/thesis/2158

APA

Shah, S. (2023). In silico toxicity prediction (ISTP) as a means of screening species for materials science and engineering. [Master's Thesis, Lancaster University]. Lancaster University. https://doi.org/10.17635/lancaster/thesis/2158

Vancouver

Shah S. In silico toxicity prediction (ISTP) as a means of screening species for materials science and engineering. Lancaster University, 2023. 113 p. doi: 10.17635/lancaster/thesis/2158

Author

Shah, Sidra. / In silico toxicity prediction (ISTP) as a means of screening species for materials science and engineering. Lancaster University, 2023. 113 p.

Bibtex

@mastersthesis{5a6c1e6221ac4ec59926fabffd8623fb,
title = "In silico toxicity prediction (ISTP) as a means of screening species for materials science and engineering",
abstract = "Sustainability is an issue of growing importance in academia, industry and society. Academic research in safe, sustainable chemistry is therefore the focus of increased attention and resource, and the use of computational tools (e.g., in silico toxicity prediction) can facilitate the development of green chemistry approaches to industrially/societally relevant issues. The focus of this thesis is the application of in silico toxicity screening to a variety of different substances, including low/high molecular weight organic species, organometallic species, and inorganic species, demonstrating their potential for developing polymer-based materials with technical and medical applications that are {"}safe by design{"}.",
author = "Sidra Shah",
year = "2023",
month = oct,
day = "1",
doi = "10.17635/lancaster/thesis/2158",
language = "English",
publisher = "Lancaster University",
school = "Lancaster University",

}

RIS

TY - THES

T1 - In silico toxicity prediction (ISTP) as a means of screening species for materials science and engineering

AU - Shah, Sidra

PY - 2023/10/1

Y1 - 2023/10/1

N2 - Sustainability is an issue of growing importance in academia, industry and society. Academic research in safe, sustainable chemistry is therefore the focus of increased attention and resource, and the use of computational tools (e.g., in silico toxicity prediction) can facilitate the development of green chemistry approaches to industrially/societally relevant issues. The focus of this thesis is the application of in silico toxicity screening to a variety of different substances, including low/high molecular weight organic species, organometallic species, and inorganic species, demonstrating their potential for developing polymer-based materials with technical and medical applications that are "safe by design".

AB - Sustainability is an issue of growing importance in academia, industry and society. Academic research in safe, sustainable chemistry is therefore the focus of increased attention and resource, and the use of computational tools (e.g., in silico toxicity prediction) can facilitate the development of green chemistry approaches to industrially/societally relevant issues. The focus of this thesis is the application of in silico toxicity screening to a variety of different substances, including low/high molecular weight organic species, organometallic species, and inorganic species, demonstrating their potential for developing polymer-based materials with technical and medical applications that are "safe by design".

U2 - 10.17635/lancaster/thesis/2158

DO - 10.17635/lancaster/thesis/2158

M3 - Master's Thesis

PB - Lancaster University

ER -