Simulation of 2D Axisymmetric GaAs P-N Junction Infrared LED and Study on Spatial Distribution of Emissivity
Bibliographic record
Abstract
To investigate the electrical characteristics and light emission laws of gallium arsenide (GaAs) P-N junction infrared light-emitting diodes (LEDs), particularly the influence of the spatial distribution of emissivity on device efficiency, this study adopts a 2D axisymmetric modeling approach for simulation. The device is based on a 60μm-diameter circular GaAs chip, and the 2D model is simplified to a rectangular structure with a thickness of 10μm and a width of 30μm. The top 2.5μm layer is p-type doped (concentration: 1×10¹⁸ cm⁻³), while the bottom 7.5μm layer is n-type doped (concentration: 1×10¹⁸ cm⁻³). The Auger recombination non-radiative mechanism is introduced to simulate the efficiency degradation process. The simulation first uses a "semiconductor initialization study" to automatically refine the mesh around the P-N junction, followed by a steady-state study with a bias voltage scan from 0 V to 1.5 V to analyze the current-voltage (I-V) characteristics, spatial distribution of emissivity, and variation law of internal quantum efficiency (IQE). The results show that: the turn-on voltage of the device is approximately 1.2 V; under low current (<5 mA, corresponding to a bias voltage of 1.2-1.3 V), the emission is distributed uniformly across the entire p-type layer, and the IQE remains at a high level; under high bias voltage (e.g., 1.5 V), the emission concentrates beneath the central p-type contact, the total emissivity increases sublinearly with current, and the IQE drops sharply to 0.075 as current increases (attributed to the Auger recombination rate being proportional to the cube of carrier density, which enhances the proportion of non-radiative recombination). The 2D axisymmetric modeling significantly reduces the computational load while accurately capturing the key performance laws of the device. The research results provide a basis for the design optimization of household infrared devices (such as remote controls and night-vision cameras): a bias voltage of 1.2-1.3 V can be selected for low-power scenarios, and transparent p-type contacts or annular contact designs are required to improve light extraction efficiency for high-brightness scenarios.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".