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Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes
Predicting failure in solids has broad applications including earthquake prediction which remains an unattainable goal. However, recent machine learning work shows that laboratory earthquakes can be predicted using micro-failure events and temporal evolution of fault zone elastic properties. Remarka...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284922/ https://www.ncbi.nlm.nih.gov/pubmed/37344479 http://dx.doi.org/10.1038/s41467-023-39377-6 |