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Super-resolution laser probing of integrated circuits using algorithmic methods

Laser probing remains invaluable to the semiconductor industry for isolating and diagnosing defects in silicon transistors in integrated circuits during electrical stress tests. However, continuous device miniaturization below the 20 nm technology node has crammed multiple transistors within the foc...

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Autores principales: Ravikumar, V. K., Chin, Jiann Min, Lua, Winson, Linarto, Nathan, Ranganathan, Gopinath, Trisno, Jonathan, Pey, K. L., Yang, Joel K. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440222/
https://www.ncbi.nlm.nih.gov/pubmed/36055983
http://dx.doi.org/10.1038/s41467-022-32724-z
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author Ravikumar, V. K.
Chin, Jiann Min
Lua, Winson
Linarto, Nathan
Ranganathan, Gopinath
Trisno, Jonathan
Pey, K. L.
Yang, Joel K. W.
author_facet Ravikumar, V. K.
Chin, Jiann Min
Lua, Winson
Linarto, Nathan
Ranganathan, Gopinath
Trisno, Jonathan
Pey, K. L.
Yang, Joel K. W.
author_sort Ravikumar, V. K.
collection PubMed
description Laser probing remains invaluable to the semiconductor industry for isolating and diagnosing defects in silicon transistors in integrated circuits during electrical stress tests. However, continuous device miniaturization below the 20 nm technology node has crammed multiple transistors within the focal spot of the laser beam, resulting in signal crosstalk, poor beam positioning accuracy and degraded fault isolation capabilities. The challenge is analogous to focusing attention to a single speaker in a crowd despite the multiple simultaneous conversations in the background. Through algorithms introduced in this patented work, consisting of cross-correlations, clustering, and our previously developed combinational logic analysis, we achieved beam positioning accuracy to better than 10 nm, extracted electrooptic waveforms from a node of a group of transistors (~18 times beyond the optical resolution limit), and applied this to isolate and identify an actual fault on a defective device. While problems associated with probing with shorter wavelength lasers continue to be addressed, our approach enhances and enables the continued probing of ICs using sub-bandgap photon energies without hardware modification to existing technology at semiconductor technology nodes below 10 nm.
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spelling pubmed-94402222022-09-04 Super-resolution laser probing of integrated circuits using algorithmic methods Ravikumar, V. K. Chin, Jiann Min Lua, Winson Linarto, Nathan Ranganathan, Gopinath Trisno, Jonathan Pey, K. L. Yang, Joel K. W. Nat Commun Article Laser probing remains invaluable to the semiconductor industry for isolating and diagnosing defects in silicon transistors in integrated circuits during electrical stress tests. However, continuous device miniaturization below the 20 nm technology node has crammed multiple transistors within the focal spot of the laser beam, resulting in signal crosstalk, poor beam positioning accuracy and degraded fault isolation capabilities. The challenge is analogous to focusing attention to a single speaker in a crowd despite the multiple simultaneous conversations in the background. Through algorithms introduced in this patented work, consisting of cross-correlations, clustering, and our previously developed combinational logic analysis, we achieved beam positioning accuracy to better than 10 nm, extracted electrooptic waveforms from a node of a group of transistors (~18 times beyond the optical resolution limit), and applied this to isolate and identify an actual fault on a defective device. While problems associated with probing with shorter wavelength lasers continue to be addressed, our approach enhances and enables the continued probing of ICs using sub-bandgap photon energies without hardware modification to existing technology at semiconductor technology nodes below 10 nm. Nature Publishing Group UK 2022-09-02 /pmc/articles/PMC9440222/ /pubmed/36055983 http://dx.doi.org/10.1038/s41467-022-32724-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ravikumar, V. K.
Chin, Jiann Min
Lua, Winson
Linarto, Nathan
Ranganathan, Gopinath
Trisno, Jonathan
Pey, K. L.
Yang, Joel K. W.
Super-resolution laser probing of integrated circuits using algorithmic methods
title Super-resolution laser probing of integrated circuits using algorithmic methods
title_full Super-resolution laser probing of integrated circuits using algorithmic methods
title_fullStr Super-resolution laser probing of integrated circuits using algorithmic methods
title_full_unstemmed Super-resolution laser probing of integrated circuits using algorithmic methods
title_short Super-resolution laser probing of integrated circuits using algorithmic methods
title_sort super-resolution laser probing of integrated circuits using algorithmic methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440222/
https://www.ncbi.nlm.nih.gov/pubmed/36055983
http://dx.doi.org/10.1038/s41467-022-32724-z
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