Oxide thinning percolation statistical model for soft breakdown in ultrathin gate oxides
An existing cell-based percolation model with parameter correlation can find its potential applications in assessing soft-breakdown (BD) statistics as long as the oxide thinning due to the localized physical damage near the SiO2/Si interface is accounted for. The resulting model is expressed explici...
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Published in: | Applied physics letters Vol. 77; no. 4; pp. 555 - 557 |
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24-07-2000
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Abstract | An existing cell-based percolation model with parameter correlation can find its potential applications in assessing soft-breakdown (BD) statistics as long as the oxide thinning due to the localized physical damage near the SiO2/Si interface is accounted for. The resulting model is expressed explicitly with the critical trap number per cell nBD and the remaining oxide thickness tox′ both as parameters. Reproduction of time-to-bimodal (soft- and hard-) breakdown statistical data from 3.3-nm-thick gate-oxide samples yields nBD of 3 and 4 for soft and hard breakdown, respectively. The extracted tox′ of 1.0 nm for soft breakdown, plus the transition layer thickness of 0.5 nm in the model, is fairly comparable with literature values from current–voltage fitting. The dimension and area of the localized physically damaged region or percolation path (cell) are quantified as well. Based on the work, the origins of soft and hard breakdown are clarified in the following: (i) soft breakdown behaves intrinsically as hard breakdown, that is, they share the same defect (neutral trap) generation process and follow Poisson random statistics; (ii) both are independent events corresponding to different tox′ requirements; and (iii) hard breakdown takes place in a certain path located differently from that for the first soft breakdown. |
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AbstractList | An existing cell-based percolation model with parameter correlation can find its potential applications in assessing soft-breakdown (BD) statistics as long as the oxide thinning due to the localized physical damage near the SiO2/Si interface is accounted for. The resulting model is expressed explicitly with the critical trap number per cell nBD and the remaining oxide thickness tox′ both as parameters. Reproduction of time-to-bimodal (soft- and hard-) breakdown statistical data from 3.3-nm-thick gate-oxide samples yields nBD of 3 and 4 for soft and hard breakdown, respectively. The extracted tox′ of 1.0 nm for soft breakdown, plus the transition layer thickness of 0.5 nm in the model, is fairly comparable with literature values from current–voltage fitting. The dimension and area of the localized physically damaged region or percolation path (cell) are quantified as well. Based on the work, the origins of soft and hard breakdown are clarified in the following: (i) soft breakdown behaves intrinsically as hard breakdown, that is, they share the same defect (neutral trap) generation process and follow Poisson random statistics; (ii) both are independent events corresponding to different tox′ requirements; and (iii) hard breakdown takes place in a certain path located differently from that for the first soft breakdown. |
Author | Fu, Kuan-Yu Chang, Yih J. Liu, Chuan-Hsi Kang, Ting-Kuo Chen, Ming-Jer |
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CitedBy_id | crossref_primary_10_1149_1_2051827 crossref_primary_10_1021_acs_jpcc_2c00311 crossref_primary_10_1109_16_954471 crossref_primary_10_1143_JJAP_40_L1271 crossref_primary_10_1016_j_microrel_2003_08_005 crossref_primary_10_1557_PROC_638_F14_44_1 crossref_primary_10_1088_0022_3727_34_17_101 crossref_primary_10_1109_TED_2022_3215103 crossref_primary_10_1063_1_1333029 crossref_primary_10_1016_j_sse_2012_04_010 crossref_primary_10_1016_j_tsf_2014_01_088 crossref_primary_10_1016_j_jpcs_2007_07_077 crossref_primary_10_1063_1_1846955 crossref_primary_10_1109_TSM_2007_907626 crossref_primary_10_1016_j_apsusc_2005_05_057 crossref_primary_10_1109_TED_2023_3286369 crossref_primary_10_1143_JJAP_40_L666 crossref_primary_10_1109_TDMR_2006_870351 |
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