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An iterative approximation for the charge-storage capacity of MOS capacitors with an application to DRAM trench capacitor memory cells
An iterative approximation based on the charge-sheet model which calculates the charge-storage capacity of a metal-oxide-semiconductor (MOS) capacitor is presented. The iterative approximation combines the numerical accuracy available from two-dimensional semiconductor device simulations with the co...
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Published in: | IEEE transactions on electron devices 1995-12, Vol.42 (12), p.2217-2225 |
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container_title | IEEE transactions on electron devices |
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creator | Perry, R.J. Uyemura, J.P. |
description | An iterative approximation based on the charge-sheet model which calculates the charge-storage capacity of a metal-oxide-semiconductor (MOS) capacitor is presented. The iterative approximation combines the numerical accuracy available from two-dimensional semiconductor device simulations with the computational efficiency normally associated with closed-form solutions. In addition, under certain process and bias conditions, the iterative solution predicts behavior not demonstrated by the closed-form equations, but verified by results obtained from device simulations. The approximation is therefore useful in the design of MOS-based circuits when quick but accurate estimations of charge-storage capacity are required. The iterative approximation is applied to estimate the charge-storage capacity of a variety of dynamic random-access memory (DRAM) trench capacitor cells. Several examples comparing charge-storage capacity approximations obtained from numerical semiconductor device simulations, closed-form solutions, and the proposed iterative approximation are given for inversion-store (IST), diffusion-store (DST), substrate-plate (SPT), and stacked (ST) trench-type DRAM cells. As expected, the iterative solution consistently produces results that compared favorable to the results obtained from numerical device simulations but at a much lower computational cost. |
doi_str_mv | 10.1109/16.477782 |
format | article |
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The iterative approximation combines the numerical accuracy available from two-dimensional semiconductor device simulations with the computational efficiency normally associated with closed-form solutions. In addition, under certain process and bias conditions, the iterative solution predicts behavior not demonstrated by the closed-form equations, but verified by results obtained from device simulations. The approximation is therefore useful in the design of MOS-based circuits when quick but accurate estimations of charge-storage capacity are required. The iterative approximation is applied to estimate the charge-storage capacity of a variety of dynamic random-access memory (DRAM) trench capacitor cells. Several examples comparing charge-storage capacity approximations obtained from numerical semiconductor device simulations, closed-form solutions, and the proposed iterative approximation are given for inversion-store (IST), diffusion-store (DST), substrate-plate (SPT), and stacked (ST) trench-type DRAM cells. As expected, the iterative solution consistently produces results that compared favorable to the results obtained from numerical device simulations but at a much lower computational cost.</description><identifier>ISSN: 0018-9383</identifier><identifier>EISSN: 1557-9646</identifier><identifier>DOI: 10.1109/16.477782</identifier><identifier>CODEN: IETDAI</identifier><language>eng</language><publisher>IEEE</publisher><subject>Circuit simulation ; Closed-form solution ; Computational efficiency ; Computational modeling ; Equations ; MOS capacitors ; Numerical simulation ; Predictive models ; Random access memory ; Semiconductor devices</subject><ispartof>IEEE transactions on electron devices, 1995-12, Vol.42 (12), p.2217-2225</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c308t-f2bb778ad3a99a50e74148c18dc9e5c70ed09fef3a72286b89963d99c1aad8583</citedby><cites>FETCH-LOGICAL-c308t-f2bb778ad3a99a50e74148c18dc9e5c70ed09fef3a72286b89963d99c1aad8583</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/477782$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Perry, R.J.</creatorcontrib><creatorcontrib>Uyemura, J.P.</creatorcontrib><title>An iterative approximation for the charge-storage capacity of MOS capacitors with an application to DRAM trench capacitor memory cells</title><title>IEEE transactions on electron devices</title><addtitle>TED</addtitle><description>An iterative approximation based on the charge-sheet model which calculates the charge-storage capacity of a metal-oxide-semiconductor (MOS) capacitor is presented. The iterative approximation combines the numerical accuracy available from two-dimensional semiconductor device simulations with the computational efficiency normally associated with closed-form solutions. In addition, under certain process and bias conditions, the iterative solution predicts behavior not demonstrated by the closed-form equations, but verified by results obtained from device simulations. The approximation is therefore useful in the design of MOS-based circuits when quick but accurate estimations of charge-storage capacity are required. The iterative approximation is applied to estimate the charge-storage capacity of a variety of dynamic random-access memory (DRAM) trench capacitor cells. Several examples comparing charge-storage capacity approximations obtained from numerical semiconductor device simulations, closed-form solutions, and the proposed iterative approximation are given for inversion-store (IST), diffusion-store (DST), substrate-plate (SPT), and stacked (ST) trench-type DRAM cells. As expected, the iterative solution consistently produces results that compared favorable to the results obtained from numerical device simulations but at a much lower computational cost.</description><subject>Circuit simulation</subject><subject>Closed-form solution</subject><subject>Computational efficiency</subject><subject>Computational modeling</subject><subject>Equations</subject><subject>MOS capacitors</subject><subject>Numerical simulation</subject><subject>Predictive models</subject><subject>Random access memory</subject><subject>Semiconductor devices</subject><issn>0018-9383</issn><issn>1557-9646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><recordid>eNqNkUlPwzAQhS0EEqVw4MrJJyQOKXYWL8eKXWpVieUcuc6kMUriYLtA_wC_m1QpcOU0eppPT_PmIXRKyYRSIi8pm6SccxHvoRHNMh5JlrJ9NCKEikgmIjlER96_9pKlaTxCX9MWmwBOBfMOWHWds5-m6ZVtcWkdDhVgXSm3gsgH69Sql6pT2oQNtiWeL55-tHUef5hQYdVufWqjB5dg8fXjdI6Dg1ZXfzRuoLFugzXUtT9GB6WqPZzs5hi93N48X91Hs8Xdw9V0FumEiBCV8XLZh1NFoqRUGQGe0lRoKgotIdOcQEFkCWWieBwLthRSsqSQUlOlCpGJZIzOB98-59safMgb47cXqBbs2uexkIKLlP8DTLOYM9aDFwOonfXeQZl3rn-g2-SU5NtKcsryoZKePRtYAwC_3G75DV_eiIs</recordid><startdate>19951201</startdate><enddate>19951201</enddate><creator>Perry, R.J.</creator><creator>Uyemura, J.P.</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>7U5</scope></search><sort><creationdate>19951201</creationdate><title>An iterative approximation for the charge-storage capacity of MOS capacitors with an application to DRAM trench capacitor memory cells</title><author>Perry, R.J. ; Uyemura, J.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c308t-f2bb778ad3a99a50e74148c18dc9e5c70ed09fef3a72286b89963d99c1aad8583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Circuit simulation</topic><topic>Closed-form solution</topic><topic>Computational efficiency</topic><topic>Computational modeling</topic><topic>Equations</topic><topic>MOS capacitors</topic><topic>Numerical simulation</topic><topic>Predictive models</topic><topic>Random access memory</topic><topic>Semiconductor devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Perry, R.J.</creatorcontrib><creatorcontrib>Uyemura, J.P.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Solid State and Superconductivity Abstracts</collection><jtitle>IEEE transactions on electron devices</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Perry, R.J.</au><au>Uyemura, J.P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An iterative approximation for the charge-storage capacity of MOS capacitors with an application to DRAM trench capacitor memory cells</atitle><jtitle>IEEE transactions on electron devices</jtitle><stitle>TED</stitle><date>1995-12-01</date><risdate>1995</risdate><volume>42</volume><issue>12</issue><spage>2217</spage><epage>2225</epage><pages>2217-2225</pages><issn>0018-9383</issn><eissn>1557-9646</eissn><coden>IETDAI</coden><abstract>An iterative approximation based on the charge-sheet model which calculates the charge-storage capacity of a metal-oxide-semiconductor (MOS) capacitor is presented. The iterative approximation combines the numerical accuracy available from two-dimensional semiconductor device simulations with the computational efficiency normally associated with closed-form solutions. In addition, under certain process and bias conditions, the iterative solution predicts behavior not demonstrated by the closed-form equations, but verified by results obtained from device simulations. The approximation is therefore useful in the design of MOS-based circuits when quick but accurate estimations of charge-storage capacity are required. The iterative approximation is applied to estimate the charge-storage capacity of a variety of dynamic random-access memory (DRAM) trench capacitor cells. Several examples comparing charge-storage capacity approximations obtained from numerical semiconductor device simulations, closed-form solutions, and the proposed iterative approximation are given for inversion-store (IST), diffusion-store (DST), substrate-plate (SPT), and stacked (ST) trench-type DRAM cells. As expected, the iterative solution consistently produces results that compared favorable to the results obtained from numerical device simulations but at a much lower computational cost.</abstract><pub>IEEE</pub><doi>10.1109/16.477782</doi><tpages>9</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Journals |
subjects | Circuit simulation Closed-form solution Computational efficiency Computational modeling Equations MOS capacitors Numerical simulation Predictive models Random access memory Semiconductor devices |
title | An iterative approximation for the charge-storage capacity of MOS capacitors with an application to DRAM trench capacitor memory cells |
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