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Record W4407425941 · doi:10.2514/1.a36239

Propulsion Properties of Electric Sails

2025· article· en· W4407425941 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Spacecraft and Rockets · 2025
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsInstitute of Particle Physics
FundersNational Aeronautics and Space Administration
KeywordsAerospace engineeringPropulsionElectrically powered spacecraft propulsionIon thrusterArcjet rocketPropellantIn-space propulsion technologiesSpacecraft propulsionEnvironmental scienceAeronauticsEngineering

Abstract

fetched live from OpenAlex

Multiparametric study of a thrust force exerted on a model electric (E) sail spacecraft by the solar wind is conducted with a particle-in-cell method. Several effects relevant to the thrust performance are examined with the focus on the accuracy of the obtained results, reflected in the improved initial conditions and physically realistic boundary conditions set at the external boundaries and the near field of a tether. These effects include thrust sensitivity to the solar wind density, temperature, and relative velocity between the solar wind and the spacecraft as well as the influence of the tether potential on the resulting thrust force. The dependence of thrust [Formula: see text] on the distance between the spacecraft and the sun [Formula: see text] is found to have an exponential form approximated by [Formula: see text]. Numerical estimates of the electric current to the E-sail tether mesh give values that are on average about 50% higher than those predicted by the orbital motion limited theory. In addition to single tethers, tether arrays are also studied and shown to have lower thrust per tether that that of a single tether.

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.

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 score0.029
Threshold uncertainty score0.154

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)0.0000.000

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 head0.005
GPT teacher head0.188
Teacher spread0.184 · 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