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Anne S. Verhulst

Researcher at Katholieke Universiteit Leuven

Publications -  156
Citations -  4221

Anne S. Verhulst is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Field-effect transistor & Transistor. The author has an hindex of 32, co-authored 152 publications receiving 3853 citations. Previous affiliations of Anne S. Verhulst include IMEC.

Papers
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Tunnel field-effect transistor without gate-drain overlap

TL;DR: In this article, the authors generalized the tunnel field effect transistor configuration by allowing a shorter gate structure, which is especially attractive for vertical nanowire-based transistors, and demonstrated with device simulations that the more flexible configuration allows of the reduction of ambipolar behavior, the increase of switching speed, and the decrease of processing complexity.
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Direct and Indirect Band-to-Band Tunneling in Germanium-Based TFETs

TL;DR: In this article, the authors theoretically calculate the parameters A and B of Kane's direct and indirect BTBT models at different tunneling directions for Si, Ge and unstrained Si1-xGex.
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Modeling the single-gate, double-gate, and gate-all-around tunnel field-effect transistor

TL;DR: In this paper, the authors have developed models allowing a direct comparison between the single-gate, double-gate and gate-all-around configuration at high drain voltage, when the drain-voltage dependence is negligible.
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Complementary Silicon-Based Heterostructure Tunnel-FETs With High Tunnel Rates

TL;DR: In this paper, the InxGa1 - xAs-source silicon-TFET was proposed to boost the on-current of the all-silicon p-FET, a necessity for making an inverter and competing with the MOSFET.
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Boosting the on-current of a n-channel nanowire tunnel field-effect transistor by source material optimization

TL;DR: In this article, the authors investigated the impact of source-material modifications on the tunnel current in n-channel nanowire TFETs and developed a semi-analytical model to determine the tunnel probability along the dominant tunnel path.