Phase diagrams and thermodynamic properties of unary and binary rare‐earth sesquioxide (RE <sub>2</sub> O <sub>3</sub> ) systems (RE = all lanthanides, Y, and Sc)
Bibliographic record
Abstract
Abstract All phase diagram and thermodynamic property data of unary rare‐earth sesquioxides (RE 2 O 3 ) in literature have been critically evaluated to obtain a consistent set of thermodynamic data for all six stable and metastable phases (C, B, A, H, X, and L) of RE 2 O 3 . In the evaluation, systematic energetic trends of RE 2 O 3 depending on ionic radius of RE and the extrapolated data from RE 2 O 3 containing binary systems were taken into account to obtain more accurate thermodynamic property data and phase transition data. Based on the newly established Gibbs energies of unary RE 2 O 3 phases, the CALPHAD‐type thermodynamic modeling was carried out for inter RE 2 O 3 binary systems to obtain the thermodynamic models with optimized model parameters of all solid and liquid solutions, which can successfully reproduce all available and reliable experimental phase diagram data of the binary RE 2 O 3 –RE′ 2 O 3 systems. Using thermodynamic models with established model parameters, a complete phase diagram set of all 136 binary RE 2 O 3 –RE′ 2 O 3 systems were predicted for the first time. The models with established parameters can be readily expanded to any ternary and high order rare oxide systems for the phase diagram and thermodynamic property calculations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".