Description of Statistical Switching in Perpendicular STT-MRAM Within an Analytical and Numerical Micromagnetic Framework
The realistic modeling of spin-transfer torque (STT)-magnetoresistive random access memory (MRAM) for the simulations of hybrid CMOS/Spintronics devices in comprehensive simulation environments requires a full description of stochastic switching processes in the state-of-the-art STT-MRAMs. Here, we...
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creator | Siracusano, G. Tomasello, R. d'Aquino, M. Puliafito, V. Giordano, A. Azzerboni, B. Braganca, P. Finocchio, G. Carpentieri, M. |
description | The realistic modeling of spin-transfer torque (STT)-magnetoresistive random access memory (MRAM) for the simulations of hybrid CMOS/Spintronics devices in comprehensive simulation environments requires a full description of stochastic switching processes in the state-of-the-art STT-MRAMs. Here, we compare micromagnetic simulations with an analytical formulation that takes into account the spin-torque asymmetry of the spin-polarization function by considering the mean, standard deviation, skewness, and kurtosis. We find that, while the first and second statistical moments exhibit a very similar behavior, skewness and kurtosis are substantially different and must be taken into account in order to provide an accurate prediction of the switching performance. In fact, a reasonable fit of the probability density function (PDF) of the switching time is given by a Pearson Type IV PDF. The main achievements of this paper underline the need of data-driven design of STT-MRAM that uses a full micromagnetic simulation framework for the statistical proprieties PDF of switching processes. |
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We find that, while the first and second statistical moments exhibit a very similar behavior, skewness and kurtosis are substantially different and must be taken into account in order to provide an accurate prediction of the switching performance. In fact, a reasonable fit of the probability density function (PDF) of the switching time is given by a Pearson Type IV PDF. The main achievements of this paper underline the need of data-driven design of STT-MRAM that uses a full micromagnetic simulation framework for the statistical proprieties PDF of switching processes.</description><identifier>ISSN: 0018-9464</identifier><identifier>EISSN: 1941-0069</identifier><identifier>DOI: 10.1109/TMAG.2018.2799856</identifier><identifier>CODEN: IEMGAQ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Analytical models ; CMOS ; Computer simulation ; Kurtosis ; Magnetic tunneling ; Magnetism ; Magnetization ; Magnetoresistivity ; Mathematical model ; Mathematical models ; Micromagnetics ; Polarization (spin alignment) ; Probability density function ; Probability density functions ; Random access memory ; Skewness ; spin-transfer torque (STT) ; Spintronics ; State of the art ; Statistical analysis ; STT-magnetoresistive random access memory (MRAM) ; Switches ; Switching ; Torque</subject><ispartof>IEEE transactions on magnetics, 2018-05, Vol.54 (5), p.1-10</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c341t-b5d9e2624728ac732bda37167265fa2b780d2a888168d3efe54735195db672603</citedby><cites>FETCH-LOGICAL-c341t-b5d9e2624728ac732bda37167265fa2b780d2a888168d3efe54735195db672603</cites><orcidid>0000-0002-5390-5140 ; 0000-0002-5321-5772 ; 0000-0001-7642-6540 ; 0000-0001-5165-5873 ; 0000-0002-1043-3876</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8306275$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8306275$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Siracusano, G.</creatorcontrib><creatorcontrib>Tomasello, R.</creatorcontrib><creatorcontrib>d'Aquino, M.</creatorcontrib><creatorcontrib>Puliafito, V.</creatorcontrib><creatorcontrib>Giordano, A.</creatorcontrib><creatorcontrib>Azzerboni, B.</creatorcontrib><creatorcontrib>Braganca, P.</creatorcontrib><creatorcontrib>Finocchio, G.</creatorcontrib><creatorcontrib>Carpentieri, M.</creatorcontrib><title>Description of Statistical Switching in Perpendicular STT-MRAM Within an Analytical and Numerical Micromagnetic Framework</title><title>IEEE transactions on magnetics</title><addtitle>TMAG</addtitle><description>The realistic modeling of spin-transfer torque (STT)-magnetoresistive random access memory (MRAM) for the simulations of hybrid CMOS/Spintronics devices in comprehensive simulation environments requires a full description of stochastic switching processes in the state-of-the-art STT-MRAMs. Here, we compare micromagnetic simulations with an analytical formulation that takes into account the spin-torque asymmetry of the spin-polarization function by considering the mean, standard deviation, skewness, and kurtosis. We find that, while the first and second statistical moments exhibit a very similar behavior, skewness and kurtosis are substantially different and must be taken into account in order to provide an accurate prediction of the switching performance. In fact, a reasonable fit of the probability density function (PDF) of the switching time is given by a Pearson Type IV PDF. 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subjects | Analytical models CMOS Computer simulation Kurtosis Magnetic tunneling Magnetism Magnetization Magnetoresistivity Mathematical model Mathematical models Micromagnetics Polarization (spin alignment) Probability density function Probability density functions Random access memory Skewness spin-transfer torque (STT) Spintronics State of the art Statistical analysis STT-magnetoresistive random access memory (MRAM) Switches Switching Torque |
title | Description of Statistical Switching in Perpendicular STT-MRAM Within an Analytical and Numerical Micromagnetic Framework |
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