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Employing machine learning for theory validation and identification of experimental conditions in laser-plasma physics
The validation of a theory is commonly based on appealing to clearly distinguishable and describable features in properly reduced experimental data, while the use of ab-initio simulation for interpreting experimental data typically requires complete knowledge about initial conditions and parameters....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504880/ https://www.ncbi.nlm.nih.gov/pubmed/31065006 http://dx.doi.org/10.1038/s41598-019-43465-3 |