Development and Demonstration of an End-to-End Laser Power Transfer System for Lunar and Space Applications
Bibliographic record
Abstract
Laser Power Transmission (LPT) has emerged as a promising solution to meet power delivery needs in extraterrestrial environments, driven by recent advancements in both laser and photovoltaic technologies, as well as the revitalized global focus on lunar exploration. The decreasing cost of space launches and improvements in energy transmission and reception capabilities have brought LPT closer to feasible implementation in operational environment. The system architecture includes three primary components: a laser source, a precision pointing mechanism, and a photovoltaic receiver. This research focuses on the photovoltaic receiver, investigating its efficiency and thermos-mechanical behavior under lunar conditions. The main objectives are to assess the receiver's ability to convert laser energy into usable power on the Moon, examine how temperature gradients influence the conversion efficiency, and perform a thermomechanical analysis to determine if the cells are at risk of deterioration due to thermal stresses. The study combines experimental characterization and simulation analysis using COMSOL modeling tools. While the experimental phase tests the cells under low temperature (down to 77K) and low pressure (down to 1.3×10−3) to reproduce conditions similar to lunar environment, the simulation considers multiple physics such as laser power, solar radiation, radiation cooling, and ground temperature, providing insights into the thermal and mechanical response of the photovoltaic receiver in the context of LPT. This integrated approach aims to advance the feasibility of using LPT for reliable and efficient power delivery in extraterrestrial environments.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".