Uncorrelated stochastic bitstream generation and arithmetic computations using Cu:ZnO memristors

dc.contributor.author	Boppidi, Pavan Kumar Reddy
dc.contributor.author	Suresh, Bharathwaj
dc.contributor.author	Abhijith, G.
dc.contributor.author	Raj, P. Michael Preetam
dc.contributor.author	Banerjee, Souri
dc.contributor.author	Kundu, Souvik
dc.contributor.imecauthor	Kundu, Souvik
dc.contributor.orcidimec	Kundu, Souvik::0000-0001-5815-8765
dc.date.accessioned	2022-04-05T10:05:39Z
dc.date.available	2022-01-04T02:04:50Z
dc.date.available	2022-04-05T10:05:39Z
dc.date.issued	2022
dc.description.wosFundingText	The authors acknowledge financial support from BRNS, DAE, Govt. of India (project No. 34/14/11/2017-BRNS/34286). Pavan is grateful to BRNS for his PhD fellowship support. All the authors are also thankful to BITS-Pilani Hyderabad Campus (including its cleanroom facilities) for all the technical supports.
dc.identifier.doi	10.1016/j.mssp.2021.106355
dc.identifier.issn	1369-8001
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/38710
dc.publisher	ELSEVIER SCI LTD
dc.source.issue	na
dc.source.journal	MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING
dc.source.numberofpages	8
dc.source.volume	139
dc.subject.keywords	RANDOM NUMBER GENERATION
dc.title	Uncorrelated stochastic bitstream generation and arithmetic computations using Cu:ZnO memristors
dc.type	Journal article
dspace.entity.type	Publication
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