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- W4283697466 abstract "The merits of decomposition-based many-objective evolutionary algorithms are known in solving many-objective optimization problem (MaOP). Device model extraction is one of MaOPs, in this work, we first time apply a decomposition-based many-objective evolutionary algorithm with two types of adjustments for the direction vectors (MaOEA/D-2ADV) to model auto extraction of MOSFETs. This approach can fast extract 65 nm devices and sub-5-nm gate-all-around (GAA) silicon (Si) nanowire (NW) MOSFETs. The results of this study indicate that the automatic extraction by using the MaOEA/D-2ADV converges accurately, rapidly, and stably. It can not only jump out local traps but optimize final results efficiently for various devices. Compared with measured results, the accuracy of extracted I <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>D</inf> -V <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>G</inf> , I <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>D</inf> -V <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>D</inf> , g <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>m</inf> , and g <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>ds</inf> are less than 1% within a few minutes." @default.
- W4283697466 created "2022-06-30" @default.
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- W4283697466 date "2022-04-06" @default.
- W4283697466 modified "2023-10-16" @default.
- W4283697466 title "Model Auto Extraction for Gate-All-Around Silicon Nanowire MOSFETs Using A Decomposition-Based Many-Objective Evolutionary Algorithm" @default.
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- W4283697466 doi "https://doi.org/10.1109/isqed54688.2022.9806274" @default.
- W4283697466 hasPublicationYear "2022" @default.
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