Metal‐Insulator‐Semiconductor Structure‐Based InGaN/GaN Micro‐Light‐Emitting Devices with Superior External Quantum Efficiency
Bibliographic record
Abstract
Abstract In this article, InGaN/GaN micro‐light‐emitting diodes (micro‐LEDs) with innovative device structures are fabricated to suppress surface nonradiative recombination and improve device efficiency. A metal‐insulator‐semiconductor (MIS) sidewall structure enables the application of sidewall bias to adjust the surface recombination of micro‐LEDs. MIS micro‐LEDs with various mesa dimensions are fabricated and characterized. Current density‐voltage ( J‐V) measurements show the increase in surface defects‐assisted tunneling current is attributed to a positive sidewall bias lowering the energy difference between the surface defect states and electron energy states, thereby decreasing the surface recombination and enhancing the external quantum efficiency (EQE) of the device. The increase or decrease in measured device EQE is approximately proportional to the magnitude of the positive or negative sidewall bias, which is well‐explained by the analytical model. The EQE of the MIS micro‐LED with a mesa dimension of 8 µm can be enhanced from 20.0% to 30.7% at a low injection current density (0.625 A cm −2 ) by applying a +20 V sidewall bias, which is comparable to the performance of state‐of‐the‐art organic‐LEDs (OLEDs). More importantly, the maximum EQE of the 8 µm MIS micro‐LED is measured to be ≈53.9% at 23.3 A cm −2 , which is the highest reported EQE to the best of the knowledge.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".