machine learning representation of potential energy surfaces and energy transfer in gas surface scattering

dc.contributor.guide	prof U louderaj
dc.coverage.spatial
dc.creator.researcher	RUPAYAN BISWAS
dc.date.accessioned	2023-10-22T05:54:36Z
dc.date.available	2023-10-22T05:54:36Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2016
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/519765
dc.language	English
dc.publisher.institution	Department of Chemical Sciences
dc.publisher.place	Mumbai
dc.publisher.university	Homi Bhabha National Institute
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Artificial Intelligence
dc.subject.keyword	Chemistry
dc.subject.keyword	Chemistry Analytical
dc.subject.keyword	Energy Transfer
dc.subject.keyword	Gas-Surface Scattering
dc.subject.keyword	Machine Learning
dc.subject.keyword	On-the-fly Representation
dc.subject.keyword	Physical Sciences
dc.subject.keyword	Potential Energy Surfaces
dc.title	machine learning representation of potential energy surfaces and energy transfer in gas surface scattering
dc.title.alternative
dc.type.degree	Ph.D.