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Chao Wang

Researcher at Peking University

Publications -  11
Citations -  160

Chao Wang is an academic researcher from Peking University. The author has contributed to research in topics: Transistor & Field-effect transistor. The author has an hindex of 6, co-authored 11 publications receiving 140 citations.

Papers
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Journal ArticleDOI

An Analytical Surface Potential Model Accounting for the Dual-Modulation Effects in Tunnel FETs

TL;DR: In this paper, an analytical model of the channel surface potential in the tunnel field effect transistors (TFETs) is established and verified, and the transition point corresponding to the switching between the two operating regimes is also analyzed quantitatively.
Journal ArticleDOI

Analytical current model of tunneling field-effect transistor considering the impacts of both gate and drain voltages on tunneling

TL;DR: The surface-potential-based current model is established which is in a good agreement with TCAD simulation results and a new calculation method for the dynamic tunneling width is derived from the surface potential.
Proceedings ArticleDOI

Deep insights into low frequency noise behavior of tunnel FETs with source junction engineering

TL;DR: The low frequency noise (LFN) mechanisms of TFETs with different source junction design are experimentally studied for the first time, including the random telegraph signal (RTS) noise.
Patent

Short-gate tunnelling field-effect transistor of vertical non-uniform doped channel and preparation method therefor

TL;DR: In this paper, a short gate tunneling field effect transistor of a vertical non-uniform doping channel and a preparation method for its preparation was proposed. But the transistor was not shown to be conductive to the increase of device conducting current, and a sheerer subthreshold gradient was obtained.
Journal ArticleDOI

A closed-form capacitance model for tunnel FETs with explicit surface potential solutions

TL;DR: In this article, a closed-form physical capacitance model for bulk tunnel FETs (TFETs) is proposed based on the surface potential approach for the first time, and the calculated terminal capacitances show good agreement with the TCAD simulation results.