Daniel Georgiev

Dr. Daniel Georgiev

Department of Electrical Engineering and Computer Science, University of Toledo, Toledo, OH, USA

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 March 2009 in Applied Physics A
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Journal Article
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JMJoseph P. Moening
Joseph P. Moening
STSachin S. Thanawala
Sachin S. Thanawala
Daniel GeorgievDaniel Georgiev
Daniel Georgiev

25 August 2005 in Journal of Materials Science
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Journal Article
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Daniel GeorgievDaniel Georgiev
Daniel Georgiev
TSTaslema Sultana
Taslema Sultana
AMAhsan Mian
Ahsan Mian
GAGreg Auner
Greg Auner
HHHans Herfurth
Hans Herfurth
GNGolam Newaz
Golam Newaz

8 November 2022 in IEEE Transactions on Nuclear Science
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Journal Article
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TNTolen Nelson
Tolen Nelson
Daniel GeorgievDaniel Georgiev
Daniel Georgiev
MHMichael R. Hontz
Michael R. Hontz
Raghav KhannaRaghav Khanna
Raghav Khanna
AIAdrian Ildefonso
Adrian Ildefonso
DMDale McMorrow
Dale McMorrow
The effect of various trapping centers on single event-transients (SETs) in GaN high-electron-mobility transistors (HEMTs) are examined via calibrated technology computer aided design (TCAD) simulations. A single-channel, Schottky-gate HEMT computational model is developed and validated with static characteristics and single-photon absorption laser data. Simulations of SETs show that a two-dimensional electron gas (2DEG) enhancement effect occurs, which leads to additional collected charge in excess of the generated charge. The origins of this effect are examined and shown to result from an increase in occupation rate of the surface donor traps as the influx of charge is developed in the charge track. Variations in trap characteristics are then introduced and their effect on internal charge collection processes examined. It is further shown the SET response is dominated by the properties of the surface donor traps (i.e., energy level and density) such that the SET drain current closely follows the transient decay of occupation rate back to the original DC level.

1 August 2005 in Applied Surface Science
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Journal Article
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Daniel GeorgievDaniel Georgiev
Daniel Georgiev
LRL.W. Rosenberger
L.W. Rosenberger
YDY.V. Danylyuk
Y.V. Danylyuk
RBR.J. Baird
R.J. Baird
GNG. Newaz
G. Newaz
GAG. Auner
G. Auner

15 June 2006 in Journal of Biomedical Materials Research Part A
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Journal Article
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GNGolam Newaz
Golam Newaz
AMAhsan Mian
Ahsan Mian
TST. Sultana
T. Sultana
TMT. Mahmood
T. Mahmood
Daniel GeorgievDaniel Georgiev
Daniel Georgiev
HHH. Herfurth
H. Herfurth

27 October 2022 in IEEE Transactions on Electron Devices
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Journal Article
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TNTolen Nelson
Tolen Nelson
PPPrakash Pandey
Prakash Pandey
Daniel GeorgievDaniel Georgiev
Daniel Georgiev
MHMichael R. Hontz
Michael R. Hontz
AKAndrew D. Koehler
Andrew D. Koehler
Raghav KhannaRaghav Khanna
Raghav Khanna
This work examines a new hybrid edge termination structure for vertical GaN diodes. The hybrid JTE-GR termination consists of superimposed guard rings (GRs) onto a junction termination extension (JTE), resulting in zones with alternating implantation depths. The charge profile of the hybrid termination is developed by integrating the charge in the termination region across its length. An optimization strategy for designing the geometry is proposed by fitting the charge profile in the termination to that of a negative bevel edge reference termination. As the number of rings ranges from 4 to 12, it is shown via simulation that the optimized hybrid structure exhibits breakdown voltages between 92% and 95% of the ideal parallel plane breakdown voltage. Despite having similar breakdown voltages, by increasing the number of rings, the charge profile of the reference bevel termination is more closely fit. This results in a better approximation of the breakdown voltage response to variations in the p-layer doping concentration and thickness. The proposed design methodology and structure allow the design of high-voltage device termination geometry with minimal computationally expensive TCAD optimization.