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

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.

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Publication Details

Journal
Science
Published
2026-01-08
DOI
https://doi.org/10.1126/science.adk9181
Citations
1
Primary Topic
Topological Materials and Phenomena
Type
article
Field-Weighted Citation Impact
31.39
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article

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

Colin Riggert, Seth Byard, Moïra Hocevar, Bomin Zhang et al.
1 citations
Science
Topological Materials and Phenomena
31.39
article

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

Colin Riggert, Seth Byard, Moïra Hocevar, Bomin Zhang, Ping Zhang, V. S. Pribiag, Y. Jiang, A.-H. Chen, S. R. Mudi, J. Chen, M. Gupta, S. M. Frolov
article en
1 citations

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.

ScienceVol. 391(6781)
Centre National de la Recherche Scientifique (FR), University of Minnesota (US), University of Pittsburgh (US), Twin Cities Orthopedics (US), Institut Néel (FR)
Good health and well-being
Openalex Percentile: Top 2%
Topological Materials and Phenomena
31.39
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Data sharing helps avoid “smoking gun” claims of topological milestones — Colin Riggert, Seth Byard, et al. · Science (2026) | TGRS Research Map | TGRS