<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T18:45:29Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2072/457261" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2072/457261</identifier><datestamp>2026-03-13T07:46:00Z</datestamp><setSpec>com_2072_98</setSpec><setSpec>col_2072_378192</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Statistical characterization of time-dependent variability defects using the maximum current fluctuation</dc:title>
   <dc:creator>Saraza-Canflanca, Pablo</dc:creator>
   <dc:creator>Martin Martinez, Javier</dc:creator>
   <dc:creator>Castro-Lopez, Rafael</dc:creator>
   <dc:creator>Roca, Elisenda</dc:creator>
   <dc:creator>Rodríguez Martínez, Rosana</dc:creator>
   <dc:creator>Fernandez, Francisco V.</dc:creator>
   <dc:creator>Nafría i Maqueda, Montserrat</dc:creator>
   <dc:subject>Bias temperature instability (BTI)</dc:subject>
   <dc:subject>Maximum current fluctuation (MCF)</dc:subject>
   <dc:subject>Random telegraph noise (RTN)</dc:subject>
   <dc:subject>Time-dependent variability (TDV)</dc:subject>
   <dc:subject>Transistor</dc:subject>
   <dc:description>This article presents a new methodology to extract, at a given operation condition, the statistical distribution of the number of active defects that contribute to the observed device time-dependent variability, as well as their amplitude distribution. Unlike traditional approaches based on complex and time-consuming individual analysis of thousands of current traces, the proposed approach uses a simpler trace processing, since only the maximum and minimum values of the drain current during a given time interval are needed. Moreover, this extraction method can also estimate defects causing small current shifts, which can be very complex to identify by traditional means. Experimental data in a wide range of gate voltages, from near-threshold up to nominal operation conditions, are analyzed with the proposed methodology.</dc:description>
   <dc:date>2021</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>https://ddd.uab.cat/record/249148</dc:identifier>
   <dc:identifier>urn:10.1109/ted.2021.3086448</dc:identifier>
   <dc:identifier>urn:oai:ddd.uab.cat:249148</dc:identifier>
   <dc:identifier>urn:pure_id:125641740</dc:identifier>
   <dc:identifier>urn:scopus_id:85111634662</dc:identifier>
   <dc:identifier>urn:wos_id:000678349800053</dc:identifier>
   <dc:identifier>urn:articleid:00189383v68n8p4039</dc:identifier>
   <dc:identifier>urn:oai:egreta.uab.cat:publications/97938aa4-65e8-440a-8c07-aad887031157</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Ministerio de Ciencia e Innovación PID2019-103869RB</dc:relation>
   <dc:relation>Agencia Estatal de Investigación BES-2017-080160</dc:relation>
   <dc:relation>Ministerio de Economía y Competitividad TEC2016-75151-C3</dc:relation>
   <dc:relation>IEEE Transactions on Electron Devices ; Vol. 68, issue 8 (Aug. 2021), p. 4039-4044</dc:relation>
   <dc:rights>open access</dc:rights>
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   <dc:rights>https://rightsstatements.org/vocab/InC/1.0/</dc:rights>
   <dc:format>application/pdf</dc:format>
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