How phase (α and γ) and porosity affect specific heat capacity and thermal conductivity of thermal storage alumina
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.
Bibliographic record
Abstract
Abstract Ceramic materials are a potential medium to store thermal energy with a reasonable cost. Respective thermodynamic properties of ceramics generally depend on temperature, and the energy storage capacity significantly varies with microstructure and porosity of ceramics. In order to improve understanding on the correlation between microstructure change and energy storage capacity, two commercial grades of alumina specimens are characterized. Their thermo‐mechanical properties are measured and correlated with temperature‐dependent material phases (ie, α and γ phases) and porosity. Higher values of the γ phase fraction and the porosity result in a lower mass‐based specific heat capacity when the temperature changes from room temperature to 1200°C. On the other hand, lower values of the γ phase fraction and the porosity lead to higher values of thermal conductivity and diffusivity between room temperature and 900°C. While both alumina specimens exhibit a decrease in specific heat capacity with increasing temperature for temperatures above 590°C, largely due to the phase transformation from γ to α, they both exhibit a decrease in thermal conductivity with increasing temperature in the same range. Generally a sample with a higher fraction of α phase and a lower porosity possesses a higher thermal conductivity. Quantitative relations are derived from experimental data.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it