Uncovering obscured phonon dynamics from powder inelastic neutron scattering using machine learning
The study of phonon dynamics is pivotal for understanding material properties, yet it faces challenges due to the irreversible information loss inherent in powder inelastic neutron scattering spectra and the limitations of traditional analysis methods. In this study, we present a machine learning fr...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IOP Publishing
2024-01-01
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| Серии: | Machine Learning: Science and Technology |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1088/2632-2153/ad79b6 |
| Метки: |
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