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Record W4407226744 · doi:10.1016/j.mssp.2025.109312

Proton irradiation effects on silicon heterojunction solar cells with MoOx selective contacts

2025· article· en· W4407226744 on OpenAlexfundno aff
S. Duarte-Cano, F. Pérez-Zenteno, D. Caudevilla, J. Olea, A. del Prado, R. Benítez-Fernández, E. García-Hemme, Milad Rezaei, Juan Antonio Clemente, S. Algaidy, I. Torres, R. Barrio, Emilio Ros, Joaquim Puigdollers, Pablo Ortega, C. Voz, R. García-Hernansanz

Bibliographic record

VenueMaterials Science in Semiconductor Processing · 2025
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsnot available
FundersFP7 Coordination of Research ActivitiesOntario Ministry of Research and InnovationAgencia Estatal de InvestigaciónResearch Executive AgencyConsejo Nacional de Ciencia y Tecnología, ParaguayMinistry of Education – Kingdom of Saudi ArabiMinisterio de Ciencia e InnovaciónUniversidad Complutense de MadridEuropean Regional Development FundEuropean CommissionMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de EspañaConsejo Nacional de Ciencia y TecnologíaInternational Centre for Theoretical SciencesCentro de Investigaciones Energéticas, Medioambientales y TecnológicasAkademie Věd České RepublikyMinisterio de Ciencia, Innovación y Universidades
KeywordsMaterials scienceIrradiationProtonHeterojunctionSiliconOptoelectronicsNuclear physics

Abstract

fetched live from OpenAlex

In this study, we investigate the effects of proton irradiation on silicon-based heterojunction and molybdenum oxide (MoO x ) selective contact solar cells. The main idea is to study their potential application in small satellites for measurement and monitoring. The irradiation dose simulates the aggressive environment found in Low Earth Orbit (LEO), where many satellites currently use Group III-VI (GaInP/GaAs/Ge) solar cells due to their superior efficiency, albeit at a higher cost. The experimental approach includes fabrication, irradiation, and characterization methods. Our results show a decrease in fill factor (F.F.) and overall efficiency after irradiation, mainly caused by a decrease in shunt resistance and an increase in series resistance. In addition, open-circuit voltage (V oc ) and short-circuit current (I sc ) may be affected by displacement damage defects caused by the irradiation process within the active region or by the formation of new point defects.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.229
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2025
Admission routes1
Has abstractyes

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