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Application of Neural Space Mapping for Modeling Ballistic Carbon Nanotube Transistors
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نویسنده
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Yousefi R. ,Saghafi K. ,Moravvej-Farshi M. K.
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منبع
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iranian journal of electrical and electronic engineering - 2010 - دوره : 6 - شماره : 2 - صفحه:70 -76
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چکیده
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Abstract: in this paper, using the neural space mapping (nsm) concept, we present aspice-compatible modeling technique to modify the conventional mosfet equations, tobe suitable for ballistic carbon nanotube transistors (cntts). we used the nsm concept inorder to correct conventional mosfet equations so that they could be used for carbonnano tube transistors. to demonstrate the accuracy of our model, we have compared ourresults with those obtained by using open-source software known as fettoy. this comparison shows that the rms errors in our calculated ids, under various conditions, aresmaller than the rms errors in ids values calculated by the existing analytical models published by others.
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کلیدواژه
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Carbon Nanotube Field Effect Transistor ,Neural Network ,Neural SpaceMapping
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آدرس
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islamic azad university, Department of Electrical Engineering, ایران, shahed university, Department of Electrical Engineering, ایران, tarbiat modares university, Electrical and Computer Engineering Department, Advanced Device Simulation Lab, ایران
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پست الکترونیکی
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saghafi@shahed.ac.ir
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Authors
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