Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/421398
Title: | Design of machine learning based framework for semiconductor device analysis |
Researcher: | Kumar, Gaurav |
Guide(s): | Trivedi, Gaurav and Mahanta, Anil |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Indian Institute of Technology Guwahati |
Completed Date: | 2020 |
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... |
Pagination: | Not Available |
URI: | http://hdl.handle.net/10603/421398 |
Appears in Departments: | DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
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01_fulltext.pdf | Attached File | 5.8 MB | Adobe PDF | View/Open |
04_abstract.pdf | 201.18 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 248.18 kB | Adobe PDF | View/Open |
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