High-efficiency multi-junction photovoltaic laser power converters for various power and spectral range applications
Bibliographic record
Abstract
Stable and reliable optical power converting devices have been obtained for various Optical Wireless Power Transmission (OWPT) applications, including power-over-fiber (PoF) or power beaming uses. They are obtained using vertical multi-junction laser power converters (LPCs) based on the GaAs and InP material systems. The LPCs are high-performance photovoltaic (PV) devices typically optimized for a narrow wavelength range. Such Optical Power Converters (OPCs) enable several isolated electrical power or remoter power applications using high-power lasers for their input power. Broadcom’s vertical multijunction PV devices (VEHSA design) permit optical-to-electrical conversion with record efficiencies and output power capabilities. This presentation will review the recent developments in both, the GaAs-based and InP-based systems. For example, high-efficiency and high-power capabilities have recently been demonstrated at ~1480nm for the InP-based PT10-InGaAs/InP, which are designed with 10 InGaAs subcells lattice-matched to InP and connected with transparent tunnel junctions. These long-wavelength OPCs are capable of directly producing electrical output voltages in the 5 V range.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".