Design of machine learning based framework for semiconductor device analysis

dc.contributor.guide	Trivedi, Gaurav and Mahanta, Anil
dc.coverage.spatial	Electronics and Electrical Engineering
dc.creator.researcher	Kumar, Gaurav
dc.date.accessioned	2022-12-01T11:43:33Z
dc.date.available	2022-12-01T11:43:33Z
dc.date.awarded	2020
dc.date.completed	2020
dc.date.registered	2012
dc.description.abstract	The quest for making sub nano regime devices is posing several challenges to the electronics industry such as high leakage current high DIBL hot electron effect and other short channel effects Technology Computer Aided Design TCAD simulations can help overcome all these issues in the best possible manner provided it gives reliable and accurate results The solution accuracy of the TCAD simulations depends mainly on two main factors 1 Transport model employed for the analysis and 2 Num...
dc.description.note	Not Available
dc.format.accompanyingmaterial	None
dc.format.dimensions	Not Available
dc.format.extent	Not Available
dc.identifier.uri	http://hdl.handle.net/10603/421398
dc.language	English
dc.publisher.institution	DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
dc.publisher.place	Guwahati
dc.publisher.university	Indian Institute of Technology Guwahati
dc.relation	Not Available
dc.rights	self
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	Design of machine learning based framework for semiconductor device analysis
dc.title.alternative	Not available
dc.type.degree	Ph.D.