@inproceedings{9195d58668304b18b80a753def56d5a0,
title = "Informatics Driven Materials Innovation for a Regenerative Economy: Harnessing NLP for Safer Chemistry in Manufacturing of Solar Cells",
abstract = "The objective of this paper is to demonstrate the use of natural language processing tools to map the propensity of usage of specific solvents used for the fabrication of different perovskite photovoltaic (PV) systems. This article focuses on implementing contextual natural language processing (NLP) tool to identify different chemicals that appear in the synthesis of perovskite solar cells. This information is linked to the known level of hazard of those solvents. This work serves to demonstrate how by harnessing the tools of informatics, in this case NLP, offers a powerful framework to guide environmentally conscious selection of chemicals used in the manufacturing of perovskite solar cells.",
keywords = "NLP, Perovskite, Solvent",
author = "Deepesh Giri and Arpan Mukherjee and Krishna Rajan",
note = "Publisher Copyright: {\textcopyright} 2022, The Minerals, Metals \& Materials Society.; 7th Installment of the REWAS conference series held at the TMS Annual Meeting and Exhibition focuses on developing tomorrow{\textquoteright}s technical cycles, 2022 ; Conference date: 27-02-2022 Through 03-03-2022",
year = "2022",
doi = "10.1007/978-3-030-92563-5\_3",
language = "English",
isbn = "9783030925628",
series = "Minerals, Metals and Materials Series",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "11--19",
editor = "Adamantia Lazou and Katrin Daehn and Camille Fleuriault and Mertol G{\"o}kelma and Elsa Olivetti and Christina Meskers",
booktitle = "REWAS 2022",
address = "Germany",
}