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Yogesh Singh Chauhan

Researcher at Indian Institute of Technology Kanpur

Publications -  328
Citations -  4763

Yogesh Singh Chauhan is an academic researcher from Indian Institute of Technology Kanpur. The author has contributed to research in topics: Transistor & MOSFET. The author has an hindex of 30, co-authored 265 publications receiving 3355 citations. Previous affiliations of Yogesh Singh Chauhan include École Normale Supérieure & Indian Institutes of Technology.

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Analysis and modeling of flicker noise in lateral asymmetric channel MOSFETs

TL;DR: Agarwal et al. as discussed by the authors showed that Klaassen Prins (KP) method, which forms the basis of noise model in MOSFETs, underestimates flicker noise in such devices.
Proceedings ArticleDOI

Modeling of Multi-domain Switching in Ferroelectric Materials: Application to Negative Capacitance FETs

TL;DR: In this article, a multi-domain model for polarization switching in ferroelectric materials is presented, which allows the visualization of time dependent domain switching allowing further physical insights, and a method to extract the distribution of domain orientations experimentally.
Proceedings ArticleDOI

BSIM-BULK: Accurate Compact Model for Analog and RF Circuit Design

TL;DR: The recent and upcoming enhancements of the industry standard BSIM-BULK model are presented and an analytical model for bulk charge effect, in both current and capacitance, is implemented to improve the model accuracy for transconductance and output conductance.
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An Improved Model for Quasi-Ballistic Transport in MOSFETs

TL;DR: In this paper, the profile for charge density along the channel is not correctly accounted for and current is not conserved throughout the channel in the quasi-ballistic regime of FETs.
Proceedings ArticleDOI

Modeling of trapping effects in GaN HEMTs

TL;DR: In this article, an RC network based trap model was proposed to capture the effect of trapping in a surface potential based compact model for GaN HEMTs, and the proposed model has been verified with the hardware data for various quiescent biases and frequencies.