Structure Prediction Using Our Semiempirical Structure Map: The Crystal Structure of the New Arsenide ZrTiAs
Bibliographic record
Abstract
Recently, a novel structure map was presented for metal-rich pnictides and chalcogenides M 2 Q (M = valence-electron poor transition metal, Q = pnicogen or chalcogen). Herewith, we introduce ZrTiAs, which crystallizes in perfect agreement with our structure map in the La 2 Sb type. While Zr 2 As apparently forms the Zr 2 P type, the (to date) hypothetical “Ti 2 As” could not have been prepared yet. ZrTiAs was obtained by arc-melting Zr, Ti, and TiAs 2 . This arsenide crystallizes in the tetragonal space group I 4/ mmm, with lattice dimensions of a = 379.28(6) pm, c = 1480.2(3) pm, and V = 212.94(7) 10 6 pm 3 ( Z = 4). In contrast to (Zr,Ti)Sb, ZrTiAs comprises complete ordering of the Zr and Ti atoms. However, the Zr atom in ZrTiAs may in part be replaced by Ti, i.e., a phase range of Zr 1 - δ Ti 1+ δ As exists with (at least) 0 ≤ δ ≤ 0.42(1). The ZrTiAs structure exhibits strong Zr−As, Ti−As, and Ti−Ti bonds, and to a minor extent Zr−Zr and Zr−Ti bonding interactions.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".