ArticleScientific data2025
Multi-phase dataset for bulk Ti and the Ti-6Al-4V alloy.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Autonomous thermodynamically informed database generation for machine-learned interatomic potentials and application to magnesium.npj computational materials · 2026Article
- Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning.npj computational materials · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Titanium and its alloys are technologically important materials that display a rich phase behaviour. In order to enable large-scale, realistic modelling of Ti and its alloys on the atomistic scale, MLIPs are crucial, but rely on databases of atomic configurations. We report databases of such configurations that represent the α, β, ω and liquid phases of Ti and the Ti-6Al-4V alloy, where we provide total energy, force and stress values evaluated by DFT using the PBE functional. We have also utilised a data reduction strategy, via non-diagonal supercells, for the vibrational properties of Ti and sampling of atomic species for Ti-6Al-4V. These configurations may be used to fit models that can accurately model the phase behaviour of Ti and Ti-6Al-4V across a broad range of thermodynamic conditions. To validate models, we assembled a set of benchmark protocols, which can be used to rapidly develop and evaluate MLIP models. We demonstrated the utility of our databases and validation tools by fitting models using the GAP and ACE frameworks.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.