Abstract
Topological invariants in the band structure, such as Chern numbers, are important for the understanding and classification of the topological properties of matter and dictate the occurrence of exotic behaviors, yet their direct spectroscopic determination has been largely limited to electronic bands. Here, we use inelastic neutron scattering in conjunction with ab initio calculations to identify a variety of topological phonon band crossings in MnSi and CoSi single crystals. We find a distinct relation between the Chern numbers of a band-crossing node and the scattering intensity modulation in momentum space around the node. Given sufficiently high resolution, our method can be used to determine arbitrarily large Chern numbers of topological phonon band-crossing nodes.
Original language | English |
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Article number | 224304 |
Journal | Physical Review B |
Volume | 106 |
Issue number | 22 |
DOIs | |
State | Published - Dec 1 2022 |
Funding
The work at Peking University was supported by the National Key R&D Program of China (No. 2018YFA0305602) and the National Natural Science Foundation of China (No. 12061131004 and No. 11888101). The work at Brookhaven National Laboratory was supported by Office of Basic Energy Sciences (BES), Division of Materials Sciences and Engineering, U.S. Department of Energy (DOE), under Contract No. DE-SC0012704. The work at Institute of Physics, Chinese Academy of Sciences was supported by the National Natural Science Foundation of China (No. 12274439). Part of this research was performed at the MLF, J-PARC, Japan, under a user program (Proposals No. 2018A0193, No. 2018B0201, No. 2019A0085). A portion of this research used resources at the Spallation Neutron Source, a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory.
Funders | Funder number |
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U.S. Department of Energy | DE-SC0012704, 12274439 |
Basic Energy Sciences | |
Division of Materials Sciences and Engineering | |
National Natural Science Foundation of China | 11888101, 12061131004 |
National Key Research and Development Program of China | 2018YFA0305602 |