MétaCan
Menu
Back to cohort
Record W7062419446

Traitements chimiques du Ge en vue de sa passivation, de son reconditionnement et de la réutilisation de substrats pour la fabricationde nanomembranes de Ge

2024· dissertation· fr· W7062419446 on OpenAlexaff

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2024
Typedissertation
Languagefr
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
Fundersnot available
KeywordsPassivationGermaniumSubstrate (aquarium)Photovoltaic systemEpitaxySolar cellLayer (electronics)Solar energy
DOInot available

Abstract

fetched live from OpenAlex

<div> Chemical treatment of germanium surfaces for passivation, reconditioning and substrate reuse Photovoltaic (PV) energy is playing an increasingly significant role in the energy mix. However, challenges such as production intermittency restrict its widespread use. Space-Based Solar Power (SBSP) emerges as a potential complementary alternative to terrestrial PV, harnessing solar energy through satellites equipped with solar cells. Among solar technologies, multijunction cells (MJSCs) based on germanium (Ge) substrates and III-V materials stand out for their efficiency. However, the use of Ge limits their exploitation due to its scarcity and high cost. This thesis focuses on the "Porous germanium Efficient Epitaxial LayEr Release" (PEELER) technology to create germanium nanomembranes (NMs) by porosifying the Ge substrate and epitaxial growth, enabling the reduction of Ge usage and production costs for these cells. Two main issues are addressed in this thesis: surface preparation for Ge membrane passivation and the reuse of the parent substrate after the initial manufacturing cycle. The thesis explores the influence of HF and HCl-based acid cleans on the chemical composition and band structure of the Ge surface. Results show that these cleans induce significant modifications in the band curvature of the Ge surface, resulting in positive band curvatures post-treatment and the removal of surface oxides. Additionally, this work contributes to a better understanding of surface oxidation phenomena related to Ge surface exposure to ambient air and their impact on passivation quality. These findings are crucial for understanding surface passivation phenomena and improving the lifetime of minority carriers in Ge. Furthermore, the thesis aims to develop a chemical reconditioning approach for substrates after membrane detachment within the PEELER framework. An etching solution based on HF, H 2 O 2 , and water proves effective in removing broken pillar residues left by mechanical membrane detachment and reducing the surface roughness of the substrate, enabling its reuse for a new manufacturing cycle. Moreover, the thesis demonstrates the multiple reuse of these substrates after reconditioning, enabling a cycling of the PEELER approach while allowing the sequential production of Ge membranes for MJSC development. This approach offers an industrializable and cost-effective alternative to chemical-mechanical polishing (CMP), leading to cost reduction and a decrease in the amount of Ge used in solar cell manufacturing. </div>

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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.

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueHAL (Le Centre pour la Communication Scientifique Directe)Same topicAdvanced Power Generation TechnologiesFrench-language works237,207