A new compact modeling approach is presented which describes the full current-voltage (I-V) characteristic of high-performance (aggressively scaled-down) tunneling field-effect-transistors (TFETs) based on homojunction direct-bandgap semiconductors. The model is based on an analytic description of two key features, which capture the main physical phenomena related to TFETs: (1) the potential profile from source to channel and (2) the elliptic curvature of the complex bands in the bandgap region. It is proposed to use 1D Poisson's equations in the source and the channel to describe the potential profile in homojunction TFETs. This allows to quantify the impact of source/drain doping on device performance, an aspect usually ignored in TFET modeling but highly relevant in ultra-scaled devices. The compact model is validated by comparison with state-of-the-art quantum transport simulations using a 3D full band atomistic approach based on non-equilibrium Green's functions. It is shown that the model reproduces with good accuracy the data obtained from the simulations in all regions of operation: the on/off states and the n/p branches of conduction. This approach allows calculation of energy-dependent band-to-band tunneling currents in TFETs, a feature that allows gaining deep insights into the underlying device physics. The simplicity and accuracy of the approach provide a powerful tool to explore in a quantitatively manner how a wide variety of parameters (material-, size-, and/or geometry-dependent) impact the TFET performance under any bias conditions. The proposed model presents thus a practical complement to computationally expensive simulations such as the 3D NEGF approach.
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28 October 2015
Research Article|
October 28 2015
A predictive analytic model for high-performance tunneling field-effect transistors approaching non-equilibrium Green's function simulations
Ramon B. Salazar;
Ramon B. Salazar
1Birck Nanotechnology Center,
Purdue University
, 1205 W. State Street, West Lafayette, Indiana 47907, USA
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Hesameddin Ilatikhameneh;
Hesameddin Ilatikhameneh
2
Network for Computational Nanotechnology
, 207 S. Martin Jischke Drive, West Lafayette, Indiana 47907, USA
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Rajib Rahman;
Rajib Rahman
2
Network for Computational Nanotechnology
, 207 S. Martin Jischke Drive, West Lafayette, Indiana 47907, USA
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Gerhard Klimeck
;
Gerhard Klimeck
2
Network for Computational Nanotechnology
, 207 S. Martin Jischke Drive, West Lafayette, Indiana 47907, USA
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Joerg Appenzeller
Joerg Appenzeller
1Birck Nanotechnology Center,
Purdue University
, 1205 W. State Street, West Lafayette, Indiana 47907, USA
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a)
R. B. Salazar and H. Ilatikhameneh contributed equally to this work.
b)
Authors to whom correspondence should be addressed. Electronic addresses: ramon@purdue.edu and hilatikh@purdue.edu
J. Appl. Phys. 118, 164305 (2015)
Article history
Received:
June 01 2015
Accepted:
October 15 2015
Citation
Ramon B. Salazar, Hesameddin Ilatikhameneh, Rajib Rahman, Gerhard Klimeck, Joerg Appenzeller; A predictive analytic model for high-performance tunneling field-effect transistors approaching non-equilibrium Green's function simulations. J. Appl. Phys. 28 October 2015; 118 (16): 164305. https://doi.org/10.1063/1.4934682
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