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Data sharing helps avoid “smoking gun” claims of topological milestones

  • S. M. Frolov
  • , P. Zhang
  • , B. Zhang
  • , Y. Jiang
  • , S. Byard
  • , S. R. Mudi
  • , J. Chen
  • , A. H. Chen
  • , M. Hocevar
  • , M. Gupta
  • , C. Riggert
  • , V. S. Pribiag

Research output: Contribution to journal › Review article › peer-review

Abstract

Manipulating the topology of electronic bands can realize new states of matter, with possible implications for information technology. a central question is how to tell whether a topological regime has been achieved. Experiments are often guided by a prediction of a distinct and self-explanatory signal called “the smoking gun.” However, in micrometer- or nanometer-scale specimens, phenomenology can mimic the anticipated behavior without containing the exotic states. We show limited data that are consistent with the presence of four topological phenomena; by considering additional data, we identified the most likely origins of the observed patterns as trivial. We argue that the reliability of smoking gun–type claims can be greatly enhanced by releasing comprehensive datasets, discussing alternative scenarios, and disclosing the total volume of study.

Original languageEnglish (US)
Pages (from-to)137-142
Number of pages6
JournalScience
Volume391
Issue number6781
DOIs
StatePublished - Jan 8 2026

Bibliographical note

Publisher Copyright:
Copyright © 2026 the authors, some rights reserved.

PubMed: MeSH publication types

  • Journal Article
  • Review

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