Empirical and machine learned potential models for liquid ethylene glycol

dc.contributor.advisor	Balasubramanian, S.
dc.contributor.author	Gaur, Anjali
dc.date.accessioned	2025-10-17T08:53:54Z
dc.date.available	2025-10-17T08:53:54Z
dc.date.issued	2024-05
dc.identifier.citation	Gaur, Anjali. 2024, Empirical and machine learned potential models for liquid ethylene glycol, Ph.D thesis, Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru	en_US
dc.identifier.uri	https://libjncir.jncasr.ac.in/xmlui/handle/123456789/3483
dc.description	Open access	en_US
dc.description.abstract	Abstract not available	en_US
dc.language	English	en
dc.language.iso	en	en_US
dc.publisher	Jawaharlal Nehru Centre for Advanced Scientific Research	en_US
dc.rights	JNCASR theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.	en
dc.subject	Liquid particle technology	en_US
dc.subject	Liquid ethylene glycol	en_US
dc.subject	Molecular dynamics
dc.title	Empirical and machine learned potential models for liquid ethylene glycol	en_US
dc.type	Thesis	en_US
dc.type.qualificationlevel	Doctoral	en_US
dc.type.qualificationname	PhD	en_US
dc.publisher.department	cpmu	en_US
dc.embargo	YYYY-MM-DD