Spatial statistics for micro/nanoelectronics and materials science
dc.contributor.author | Miranda, Enrique | |
dc.contributor.author | Jiménez, D. | |
dc.contributor.author | Suñé, Jordi | |
dc.contributor.author | O'Connor, Éamon | |
dc.contributor.author | Monaghan, Scott | |
dc.contributor.author | Cherkaoui, Karim | |
dc.contributor.author | Hurley, Paul K. | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | en |
dc.contributor.funder | European Regional Development Fund | en |
dc.contributor.funder | Generalitat de Catalunya | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | Institució Catalana de Recerca i Estudis Avançats | en |
dc.date.accessioned | 2022-07-21T11:06:02Z | |
dc.date.available | 2022-07-21T11:06:02Z | |
dc.date.issued | 2012-06-25 | |
dc.date.updated | 2022-07-19T20:58:39Z | |
dc.description.abstract | Spatial statistics is a specialized branch of statistics aimed to provide information about the locations of randomly distributed objects in 1, 2 or 3 dimensions. The analysis involves data exploration, parameter estimation, model fitting and hypothesis formulation. In particular, in this work, we present some recent advances in the characterization of the spatial distribution of breakdown spots over the gate electrode of Metal-Insulator-Semiconductor and Metal-Insulator-Metal structures. The spots are regarded as a two-dimensional point pattern, which is analyzed using intensity plots, spatial counting methods, inter-event distance histograms and functional summary estimators. The methods reported here are general so that they can be applied to many different research fields. | en |
dc.description.sponsorship | Ministerio de Ciencia e Innovación (contract number TEC2009-09350); Generalitat de Catalunya (contract number 2009SGR783); Institució Catalana de Recerca i Estudis Avançats (ACADEMIA award) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Miranda, E., Jiménez, D., Suñé, J., O'Connor, É., Monaghan, S., Cherkaoui, K., Hurley, P. K. (2012) 'Spatial statistics for micro/nanoelectronics and materials science', 2012 28th International Conference on Microelectronics Proceedings, Nis, Serbia, 13-16 May, pp. 23-30. doi: 10.1109/MIEL.2012.6222790 | en |
dc.identifier.doi | 10.1109/MIEL.2012.6222790 | en |
dc.identifier.endpage | 30 | en |
dc.identifier.isbn | 978-1-4673-0238-8 | |
dc.identifier.isbn | 978-1-4673-0237-1 | |
dc.identifier.isbn | 978-1-4673-0236-4 | |
dc.identifier.startpage | 23 | en |
dc.identifier.uri | https://hdl.handle.net/10468/13387 | |
dc.language.iso | en | en |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
dc.relation.ispartof | 2012 28th International Conference on Microelectronics, Nis, Serbia, 13-16 May | |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/09/IN.1/I2633/IE/Investigating Emerging Non-Silicon Transistors (INVENT)/ | en |
dc.rights | © 2012, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
dc.subject | Correlation | en |
dc.subject | Logic gates | en |
dc.subject | Silicon | en |
dc.subject | Histograms | en |
dc.subject | Hafnium compounds | en |
dc.subject | Indexes | en |
dc.title | Spatial statistics for micro/nanoelectronics and materials science | en |
dc.type | Conference item | en |
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