Evidence map›Paper›PMID 42149081›Full record

ArticleACS nano2026

Direct Ab Initio Simulation of the Synthesis of BaZrO

Rhys J Bunting, Reetam Paul, Nikhil Rampal, Brandon C Wood, Tadashi Ogitsu, Joel B Varley, Tuan Anh Pham

Abstract read
In one paragraph

Article in ACS nano, 2026. 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

7 authors.

Rhys J BuntingQuantum Simulations Group, Materials Science Division and Laboratory for Energy Applications for the Future, Lawrence Livermore National Laboratory, Livermore, California 94550, United States.ORCID 0000-0001-6928-074X
Reetam PaulQuantum Simulations Group, Physical and Life Sciences, Lawrence Livermore National Laboratory, Livermore, California 94550, United States.
Nikhil RampalQuantum Simulations Group, Materials Science Division and Laboratory for Energy Applications for the Future, Lawrence Livermore National Laboratory, Livermore, California 94550, United States.ORCID 0000-0003-2143-5874
Brandon C WoodQuantum Simulations Group, Materials Science Division and Laboratory for Energy Applications for the Future, Lawrence Livermore National Laboratory, Livermore, California 94550, United States.
Tadashi OgitsuQuantum Simulations Group, Materials Science Division and Laboratory for Energy Applications for the Future, Lawrence Livermore National Laboratory, Livermore, California 94550, United States.
Joel B VarleyQuantum Simulations Group, Materials Science Division and Laboratory for Energy Applications for the Future, Lawrence Livermore National Laboratory, Livermore, California 94550, United States.ORCID 0000-0002-5384-5248
Tuan Anh PhamQuantum Simulations Group, Materials Science Division and Laboratory for Energy Applications for the Future, Lawrence Livermore National Laboratory, Livermore, California 94550, United States.ORCID 0000-0003-0025-7263

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlling and predicting the processing-structure-performance relationship in functional materials is a grand challenge in materials science, with important implications for a wide range of emerging applications; a high fidelity understanding of the performance impact of microstructures formed under synthesis conditions is required to develop advanced materials, such as solid-state fuel cells and electrolyzers. Using the ceramic BaZrO

Indexed as

BaZrO3computational synthesisDFTMLIPmolecular dynamicsprotonsolid-state electrolytetransport

Identifiers

PMID42149081
PMCPMC13235642

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.