Archana Venugopal
Texas Instruments
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Publication
Featured researches published by Archana Venugopal.
Journal of Materials Chemistry C | 2015
Lanxia Cheng; Kayoung Yun; Antonio T. Lucero; Jie Huang; Xin Meng; Guoda Lian; Ho Seok Nam; Robert M. Wallace; Moon J. Kim; Archana Venugopal; Luigi Colombo; Jiyoung Kim
Controlled synthesis of graphite at low temperatures is a desirable process for a number of applications. Here, we present a study on the growth of thin graphite films on polycrystalline Ni films at low temperatures, about 380 °C, using inductively coupled plasma enhanced chemical vapor deposition. Raman analysis shows that the grown graphite films are of good quality as determined by a low ID/IG ratio, ∼0.43, for thicknesses ranging from a few layers of graphene to several nanometer thick graphitic films. The growth of graphite films was also studied as a function of time, precursor gas pressure, hydrogen concentration, substrate temperature and plasma power. We found that graphitic films can be synthesized on polycrystalline thin Ni films on SiO2/Si substrates after only 10 seconds at a substrate temperature as low as 200 °C. The amount of hydrogen radicals, adjusted by changing the hydrogen to methane gas ratio and pressure, was found to dramatically affect the quality of graphite films due to their dual role as a catalyst and an etchant. We also find that a plasma power of about 50 W is preferred in order to minimize plasma induced graphite degradation.
international reliability physics symposium | 2013
Dhanoop Varghese; Archana Venugopal; S. Pan; Srikanth Krishnan
It is not always practical to observe OFF-state drain-to-gate dielectric breakdown in power transistors due to the upper limit set to stress voltage by junction breakdown. In this paper we demonstrate that OFF-state breakdown in drain extended power transistors can be accelerated by increasing the channel current (IS) by biasing the transistor in sub-threshold. We also show that the charge pumping scaling factors along with observed breakdown times can be used to build an IS and VDG dependent model to extrapolate failure times at operating bias conditions.
Archive | 2016
Arup Polley; Archana Venugopal; Robert R. Doering; Luigi Colombo
Archive | 2015
Arup Polley; Archana Venugopal; Luigi Colombo; Robert R. Doering
Archive | 2016
Archana Venugopal; Marie Denison; Luigi Colombo; Hiep Nguyen; Darvin R. Edwards
international symposium on power semiconductor devices and ic s | 2018
Dong Seup Lee; Dhanoop Varghese; Arif Sonnet; Jungwoo Joh; Archana Venugopal; Srikanth Krishnan
Archive | 2018
Archana Venugopal; Benjamin S. Cook; Luigi Colombo; Robert R. Doering
Archive | 2017
Archana Venugopal; Benjamin S. Cook; Luigi Colombo; Robert R. Doering
Archive | 2017
Luigi Colombo; Archana Venugopal
Archive | 2017
Sunil Kumar Dusa; Richard A. Bailey; Archana Venugopal; John A. Rodriguez; Michael Allen Ball