Evidence map›Paper›PMID 39174589›Full record

ArticleScientific data2024

First-principles data for solid solution niobium-tantalum-vanadium alloys with body-centered-cubic structures.

Massimiliano Lupo Pasini, German Samolyuk, Markus Eisenbach, Jong Youl Choi, Junqi Yin, Ying Yang

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Massimiliano Lupo Pasini *Oak Ridge National Laboratory, Computational Sciences and Engineering Division, Oak Ridge, 37831, USA. lupopasinim@ornl.gov.ORCID http://orcid.org/0000-0002-4980-6924
German Samolyuk *Oak Ridge National Laboratory, Materials Sciences and Technology Division, Oak Ridge, 37831, USA. samolyukgd@ornl.gov.
Markus EisenbachOak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge, 37831, USA.
Jong Youl ChoiOak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, 37831, USA.
Junqi YinOak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge, 37831, USA.
Ying YangOak Ridge National Laboratory, Materials Sciences and Technology Division, Oak Ridge, 37831, USA.ORCID http://orcid.org/0000-0001-6480-2254

Funding

DOE | LDRD | Oak Ridge National Laboratory (ORNL) DE-AC05-00OR22725
6 · The paper itself

Abstract

We present four open-source datasets that provide results of density functional theory (DFT) calculations of ground-state properties of refractory solid solution binary alloys niobium-tantalum (NbTa), niobium-vanadium (NbV), tantalum-vanadium (TaV), and ternary alloys NbTaV ordered in body-centered-cubic (BCC) structures with 128 Bravais lattice sites. The first-principles code used to run the calculations is the Vienna Ab-Initio Simulation Package. The calculations have been collected by uniformly sampling chemical compositions across the entire compositional range. For each chemical composition, the calculations have been run for 100 randomized arrangements of the constituents on the BCC lattice sites. This sampling methodology resulted in running DFT simulations for a total of 3,100 randomized atomic configurations over 31 chemical compositions for each of the three binary alloys Nb-Ta, Nb-V, Ta-V, and a total of 10,500 randomized atomic structures over 105 chemical compositions for the ternary alloys Nb-Ta-V. For each atomic configuration, geometry optimization has been performed, and the data released contains information about each step of geometry optimization for each atomic configuration.

Identifiers

PMID39174589
PMCPMC11341824

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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.