Bibliographic record
Abstract
Multi-species impact is of high relevance for fusion reactors, where, in addition to the hydrogen fuel, the He ash, impurity species (e.g., C and O), and in some cases injected elements are also present. Combined irradiation of graphite with relatively low-energy H + (typically below 100 eV) and energetic (above 300 eV) hydrogenic and non-hydrogenic ions leads to an enhancement of the chemical erosion yield compared to the low-energy H + -only case. This is due to the additional energy deposition and associated lattice damage by the added energetic ions. Studies of combined species irradiation also have the potential to enhance our understanding of the mechanisms leading to erosion and hydrogen transport in graphite. Mixed isotope experiments with simultaneous H + –D + irradiation of graphite led to the conclusion that thermalized H and D move and recombine on internal surfaces within the implantation zone. In contrast, during H + –D + irradiation, methane molecules are formed at the end of range of the incident ions. Combined H + and O + irradiation of graphite leads to the formation of hydrocarbons, carbon oxides and water, with water being formed at the end of the O + implant range.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".