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Record W4322730766 · doi:10.1002/adem.202300049

First‐Principles Calculations and a Theoretical Model for Predicting Stacking Fault Energies in Binary Magnesium Alloys

2023· article· en· W4322730766 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdvanced Engineering Materials · 2023
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship CouncilChina Sponsorship CouncilCompute Canada
KeywordsDensity functional theoryMaterials scienceStacking faultStackingStacking-fault energyBinary numberMagnesiumThermodynamicsFirst principleComputational chemistryMetallurgyChemistryPhysicsDislocation

Abstract

fetched live from OpenAlex

Comprehensive first‐principles density functional theory (DFT) calculations are conducted to study the effects of solutes on the stacking fault energies (SFEs) for basal, prismatic, and pyramidal slip systems in binary magnesium alloys. The two main aspects prescribing the solute effect on SFE are elucidated to be mechanical and electronic in nature, respectively, and critically assessed. On the basis of the misfit volume and d ‐electrons, these two aspects are then quantified and subsequently a predictive model of the solute effect on the SFE is developed, with good agreement achieved between the model prediction and DFT results. Herein, important mechanistic insights and predictivity critical for rational design of Mg alloys of enhanced mechanical properties are provided.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.714

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 head0.018
GPT teacher head0.243
Teacher spread0.225 · 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