Bimaterial lattices with anisotropic thermal expansion
Bibliographic record
Abstract
Bimaterial lattices with anisotropic thermal expansion consist of non-identical cells comprised of a skewed triangle made of one material surrounding an unskewed triangle made of a second material. The two materials have differing individual coefficients of thermal expansion. The variation in skew angles makes the thermal expansion of the cell anisotropic. Being composed of anisotropic nonidentical cells, the assembled lattice is also anisotropic and can be designed to have different coefficients of thermal expansion on its top and bottom surfaces. Such lattices can be used as transition elements or adaptors to avoid thermal expansion mismatch between two parts of a structure made of materials with different coefficients of thermal expansion and subjected to temperature changes. In the present paper, three nonlinear algebraic equations linking skew angles with the coefficients of thermal expansion in three directions of a cell are derived, the design of several lattices is performed, the algorithm of lattice design is elaborated, and some examples are presented.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".