Effect of hydrogen on the electrical resistivity of Fe and Fe-C systems :a first principles study
Bibliographic record
Abstract
Abstract: Hydrogen Embrittlement (HE) in steel is an important phenomenon that needs to be understood from several perspectives. HE promotes crack growth and lower ductility hence it poses a risk of failure in the material. An important aspect that needs further research in the domain of HE is the effect of hydrogen (H) on the physical properties of steel. A better understanding of this aspect could contribute to the development of a non-destructive testing technique for detecting the change in physical properties in the presence of H in the material. This study investigates the effect of Hconcentration on the electrical resistivity of iron (Fe) and ironcarbon (Fe-C) systems using density functional theory (DFT). An increase in resistivity with the increase in H-concentration was observed in both Fe and Fe-C systems. The addition of H and C to the Fe system is found to negligibly affect the density of states (DOS) at the fermi level which is proportional to the number of free electrons in the system. Whereas the addition majorly affects the probability of an incident electron wave being transmitted through the system in its transport direction by scattering it.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".