Evidence map›Paper›PMID 39498698›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2024

Performance Prediction of High-Entropy Perovskites La

Carlota Bozal-Ginesta, Juande Sirvent, Giulio Cordaro, Sarah Fearn, Sergio Pablo-García, Francesco Chiabrera, Changhyeok Choi, Lisa Laa, Marc Núñez, Andrea Cavallaro and 8 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Performance Prediction of High-Entropy Perovskites LaAdvanced materials (Deerfield Beach, Fla.) · 2024
    Article
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

18 authors.

Carlota Bozal-GinestaNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.ORCID https://orcid.org/0000-0001-7299-5869
Juande SirventNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.
Giulio CordaroLaboratoire Structures, Propriétés et Modélisation des Solides, UMR8580, CentraleSupelec, CNRS, Université Paris-Saclay, 3 Rue Joliot-Curie, Gif Sur Yvette, 91190, France.
Sarah FearnDepartment of Materials, Imperial College London, London, SW7 2BP, United Kingdom.
Sergio Pablo-GarcíaDepartments of Chemistry and Computer Science, University of Toronto, Lash Miller Chemical Laboratories, 80 St George Street, Toronto, Ontario, M5S 3H6, Canada.
Francesco ChiabreraNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.
Changhyeok ChoiDepartments of Chemistry and Computer Science, University of Toronto, Lash Miller Chemical Laboratories, 80 St George Street, Toronto, Ontario, M5S 3H6, Canada.
Lisa LaaNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.
Marc NúñezNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.
Andrea CavallaroDepartment of Materials, Imperial College London, London, SW7 2BP, United Kingdom.
Fjorelo BuziNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.
Ainara AguaderoDepartment of Materials, Imperial College London, London, SW7 2BP, United Kingdom.
Guilhem DezanneauLaboratoire Structures, Propriétés et Modélisation des Solides, UMR8580, CentraleSupelec, CNRS, Université Paris-Saclay, 3 Rue Joliot-Curie, Gif Sur Yvette, 91190, France.
John KilnerDepartment of Materials, Imperial College London, London, SW7 2BP, United Kingdom.
Alex MorataNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.
Federico BaiuttiNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.
Alán Aspuru-GuzikDepartments of Chemistry and Computer Science, University of Toronto, Lash Miller Chemical Laboratories, 80 St George Street, Toronto, Ontario, M5S 3H6, Canada.
Albert TarancónNanoionics and Fuel Cells group, Catalonia Institute for Energy Research, Jardins de Les Dones de Negre 1, Sant Adrià de Besòs, Barcelona, 08930, Spain.

Funding

Agence Nationale de la Recherche ANR-20-CE05-0001Generalitat de Catalunya 2021-SGR-00750,NANOENHORIZON EUROPE Framework Programme 824072 (HARVESTORE)HORIZON EUROPE Framework Programme No. 101017709 (EPISTORE)HORIZON EUROPE Marie Sklodowska-Curie Actions 101064374HORIZON EUROPE Marie Sklodowska-Curie Actions 101107093HORIZON EUROPE Marie Sklodowska-Curie Actions 840787U.S. Department of Energy, Office of Science
6 · The paper itself

Abstract

Perovskite oxides form a large family of materials with applications across various fields, owing to their structural and chemical flexibility. Efficient exploration of this extensive compositional space is now achievable through automated high-throughput experimentation combined with machine learning. In this study, we investigate the composition-structure-performance relationships of high-entropy La

Indexed as

high entropy oxideshigh‐throughput experimentationmachine learningperovskite oxidessolid oxide fuel cells

Identifiers

PMID39498698
PMCPMC11636067

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.