Extraction of interaction parameters for α-RuCl_{3} from neutron data using machine learning
Single-crystal inelastic neutron-scattering (INS) data contain rich information about the structure and dynamics of a material. Yet the challenge of matching sophisticated theoretical models with large data volumes is compounded by computational complexity and the ill-posed nature of the inverse sca...
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| Hoofdauteurs: | , , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
American Physical Society
2022-06-01
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| Reeks: | Physical Review Research |
| Online toegang: | http://doi.org/10.1103/PhysRevResearch.4.L022061 |
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