Machine-learning and first-principles modelling: from dielectric breakdown in solids to mechanical behavior of high-entropy alloys

Kumar, Narendra

dc.contributor.advisor	Waghmare, Umesh V.
dc.contributor.author	Kumar, Narendra
dc.date.accessioned	2025-09-19T11:20:03Z
dc.date.available	2025-09-19T11:20:03Z
dc.date.issued	2023-12
dc.identifier.citation	Kumar, Narendra. 2023, Machine-learning and first-principles modelling: from dielectric breakdown in solids to mechanical behavior of high-entropy alloys, Ph.D thesis, Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru	en_US
dc.identifier.uri	https://libjncir.jncasr.ac.in/xmlui/handle/123456789/3452
dc.description	Open access	en_US
dc.description.abstract	Abstract not available	en_US
dc.language.iso	en	en_US
dc.publisher	Jawaharlal Nehru Centre for Advanced Scientific Research	en_US
dc.subject	Alloys	en_US
dc.subject	Dielectrics	en_US
dc.subject	Machine-Learning
dc.title	Machine-learning and first-principles modelling: from dielectric breakdown in solids to mechanical behavior of high-entropy alloys	en_US
dc.type	Thesis	en_US
dc.type.qualificationlevel	Doctoral	en_US
dc.type.qualificationname	PhD	en_US
dc.publisher.department	tsu	en_US