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Updated: Jan 13, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Data sharing helps avoid "smoking gun" claims of topological milestones
S M Frolov1, P Zhang1, B Zhang1
1Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA.
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.
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