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Characteristics of Detachable III-V Solar Cells Grown on Porous Germanium

2023· article· en· W4390189461 on OpenAlexaff
Valentin Daniel, Thomas Bidaud, Jérémie Chrétien, Abdelatif Jaouad, Jean-François Lerat, Nicolas Paupy, Bouraoui Ilahi, Jinyoun Cho, Kristof Dessein, Christian Dubuc, Gwénaëlle Hamon, Abderaouf Boucherif, Maxime Darnon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueGeneral Electric (Canada)Université de Sherbrooke
Fundersnot available
KeywordsGermaniumMonocrystalline siliconMaterials scienceSubstrate (aquarium)EpitaxyLayer (electronics)Solar cellPhotovoltaic systemOptoelectronicsEtching (microfabrication)Quantum dot solar cellCommon emitterNanotechnologySiliconElectrical engineering

Abstract

fetched live from OpenAlex

III-V photovoltaic cells typically use germanium (Ge) as a substrate for the epitaxial growth, however, this material contributes significantly to the overall price of the multijunction solar cells. In order to reduce the environmental and economic cost of the solar cells, we have developed a porosification technique using bipolar electrochemical etching (BBE) to create a weak layer between the Ge substrate and the epitaxial layers. This approach allows the easy separation of the grown layers and the subsequent reuse of germanium. As evidence of the potential of this method, we have compared the performances of non-detached single-junction III-V solar cells grown and fabricated (without anti-reflection coating-ARC) on porosified Ge, and on bulk Ge as a reference. All the final cells show mirror-like monocrystalline III-V layers with comparable characteristics notably concerning the Voc (VocGePorous=0.862V vs VocGeBulk=0.882V) and good efficiencies (Eff.GePorous=13.03% vs Eff.GeBulk=15.96%) in comparison with current literature values on similar substrates (Vocliterature= 0.75V and FFliterature=61%). These promising results open the path toward thin III-V solar cells and multiple Ge substrates reuse.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.012
GPT teacher head0.200
Teacher spread0.188 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

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