Evidence map›Paper›PMID 37907493›Full record

ArticleNature communications2023

Autonomous and dynamic precursor selection for solid-state materials synthesis.

Nathan J Szymanski, Pragnay Nevatia, Christopher J Bartel, Yan Zeng, Gerbrand Ceder

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Crystallization Mechanisms and Optical Properties of YbMaterials (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Leading the Pack: Next-Generation Batteries for Humanoid Robotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Article
  5. Diffusion-Model-Driven Discovery of Ferroelectrics for Photocurrent Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. A Cellular Automaton Simulation for Predicting Phase Evolution in Solid-State Reactions.Chemistry of materials : a publication of the American Chemical Society · 2025
    Article
  13. Review
  14. Article
  15. The rise of high-entropy battery materials.Nature communications · 2024
    Article
  16. Text Mining the Literature to Inform Experiments and Rationalize Impurity Phase Formation for BiFeOChemistry of materials : a publication of the American Chemical Society · 2024
    Article
  17. Article
  18. 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

5 authors.

Nathan J Szymanski *Department of Materials Science and Engineering, UC Berkeley, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0003-2255-9676
Pragnay Nevatia *Department of Chemical Engineering, UC Berkeley, Berkeley, CA, 94720, USA.
Christopher J BartelDepartment of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID http://orcid.org/0000-0002-5198-5036
Yan ZengDepartment of Materials Science and Engineering, UC Berkeley, Berkeley, CA, 94720, USA. yanzeng@lbl.gov.ORCID http://orcid.org/0000-0002-5831-1210
Gerbrand CederDepartment of Materials Science and Engineering, UC Berkeley, Berkeley, CA, 94720, USA. gceder@berkeley.edu.ORCID http://orcid.org/0000-0001-9275-3605

Funding

U.S. Department of Energy (DOE) DE-AC02-05CH11231
6 · The paper itself

Abstract

Solid-state synthesis plays an important role in the development of new materials and technologies. While in situ characterization and ab-initio computations have advanced our understanding of materials synthesis, experiments targeting new compounds often still require many different precursors and conditions to be tested. Here we introduce an algorithm (ARROWS

Identifiers

PMID37907493
PMCPMC10618174

What OpenQuestion holds

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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.