From Pixels to Nanometers: Integrating Machine Learning and Mechatronics for Photolithography Automation with a Focus on 2D Materials

Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8972

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	RAHMAN, ATIKUR	-
dc.contributor.author	RAO, RAVI PRAKASH	-
dc.date.accessioned	2024-05-31T11:25:21Z	-
dc.date.available	2024-05-31T11:25:21Z	-
dc.date.issued	2024-05	-
dc.identifier.citation	61	en_US
dc.identifier.uri	http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8972	-
dc.description.abstract	We have tried to optimize the growth parameters of the CVD growth of Bi2O2Se on various substrates, focusing on f-mica. Also, exploring the various techniques of Photolithography to signify the vital role it plays in 2D material research. Moreover, we have proposed and designed an Automated Maskless Photolithography setup by modifying the existing Photolithography setup with merely Stepper Motors, Raspberry Pi, Arduino, A camera and a DLP.	en_US
dc.language.iso	en	en_US
dc.subject	2D Materials	en_US
dc.subject	Photolithography	en_US
dc.subject	Bismuth Oxyselenide	en_US
dc.title	From Pixels to Nanometers: Integrating Machine Learning and Mechatronics for Photolithography Automation with a Focus on 2D Materials	en_US
dc.type	Thesis	en_US
dc.description.embargo	No Embargo	en_US
dc.type.degree	BS-MS	en_US
dc.contributor.department	Dept. of Physics	en_US
dc.contributor.registration	20181127	en_US
Appears in Collections:	MS THESES

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20181127_Ravi_Prakash_Rao_MS_Thesis.pdf	MS Thesis	54.37 MB	Adobe PDF	View/Open