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Record W4245894882 · doi:10.1149/ma2017-02/31/1320

(Invited) Simulation Study of High Voltage Vertical GaN Nanowire Field Effect Transistors

2017· article· en· W4245894882 on OpenAlexaff
Gourab Sabui, Vitaly Z. Zubialevich, Pietro Pampili, Mary White, P. J. Parbrook, Mathew McLaren, Miryam Arredondo, Z. John Shen

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsQueen's University
Fundersnot available
KeywordsMaterials scienceOptoelectronicsGallium nitrideNanowirePower semiconductor deviceEpitaxyTransistorSubstrate (aquarium)Engineering physicsNanotechnologyElectrical engineeringLayer (electronics)VoltageEngineering

Abstract

fetched live from OpenAlex

A Nanostructured GaN Device Architecture for Power Applications Z. John Shen, Gourab Sabui , Vitaly Z. Zubialevich, Mary White, Pietro Pampili, Peter J. Parbrook, Mathew McLaren, Miryam Arredondo-Arechavala Gallium nitride (GaN) has emerged as a promising material for development of power semiconductor devices owing to its high critical electric field, large bandgap and superior transport properties. The unique properties of GaN have prompted realization of power devices both in a lateral (high electron mobility transistors (HEMTs)) and a vertical layout (bulk GaN on GaN devices). GaN power devices show extremely low conduction and switching losses and holds the key to extremely low-loss and high-efficiency power converters of the future. However, GaN power devices have been plagued with several inherent drawbacks preventing a ubiquitous adoption of GaN as the material of choice for power switches. The most critical trade-off has been the choice of substrate for the growth of GaN epitaxy: a high performance, high-cost native substrate against a low-cost, non-native substrate with associated reliability issues. For GaN to thrive as a superior successor to Si, a low cost, high performance epitaxy with improved reliability is expected moving forward. Current lateral HEMTs and vertical GaN on GaN devices are inadequate to address this trade-off. A novel nanostructured approach to GaN power devices is proposed in this paper. The unique property of GaN nanowires is its ability to elastically relax in the lateral direction, and accommodate lattice mismatch with non-native substrate through pseudomorphic growth without dislocation formation as compared to thin-film heterostructures. Experimental studies have shown self-induced GaN NWs grown with a high surface to volume ratio on a Si substrate have a non-polar side face and is virtually free of threading dislocations and other structural defects. Power devices grown on a nano-GaN epitaxy theoretically have the potential to bypass the reliability concerns associated with a non-native substrate but still deliver comparable or even superior performance, albeit at a low-cost. Schottky barrier diodes are designed and fabricated based on the nano-GaN concept. Fabricated diodes grown on a Sapphire substrate show distinct rectifying properties blocking voltages of 100 V. Despite repetitive biasing, the devices did not show any sign of current collapse. Design optimization of the nanowire Schottky barrier diode (NWSBD) is performed using 3D TCAD drift-diffusion simulations and semiconductor-oxide interaction was utilized to push the performance of the NWSBDs beyond the unipolar limit of GaN. The optimized NWSBD show the potential to block voltages upwards of 650 V working under present fabrication constraints of doping concentrations and pillar height. Simulated characteristics predict superior V RB 2 /R ON FoM, outperforming both the lateral HEMTs and the vertical GaN on GaN devices. A fully controlled, three terminal nanowire field effect transistor (NWFET) is also investigated using 3D TCAD drift-diffusion modeling. The NWFET can be operated in both normally-off and normally-on modes based on design and requirements. The 3D gate around the nanowires coupled with a strong dielectric REduced SURface Field (RESURF) effect allows this architecture to block voltages beyond the 1D unipolar material limit of GaN in the reverse bias. With proper design, highly desirable linear voltage to pillar height scaling can be achieved for the NWFET. Breakdown voltages of more than 900 V is predicted, with superior V RB 2 /R ON and Q GD x R DS(ON) figure of merits. Despite lacking a body-diode, the NWFETs being quasi-symmetrical enables current conduction in the 3 rd quadrant itself by self-commutated reverse conduction with a very low voltage drop. The nanowire architecture holds great potential to produce power rectifiers and controlled FETs with high performance, improved reliability and ruggedness and in a cost-effective way.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.273
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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