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

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Authors: S. M. Frolov, Po Zhang, Bomin Zhang, Y. Jiang, Seth Byard, S. R. Mudi, J. Chen, A.-H. Chen, Moïra Hocevar, M. Gupta, Colin Riggert, V. S. Pribiag
Cited by: 2
References: 71

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.

Fields of Study & Subjects

Topological Materials and Phenomena Quantum many-body systems Topological and Geometric Data Analysis

Publication details

Journal / source
Science
Publisher
American Association for the Advancement of Science (AAAS)
Volume
391
Issue
6781
Pages
137–142
Publication date
8 January 2026
Language
EN