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A deeper look into natural sciences with physics-based and data-driven measures
With the development of machine learning in recent years, it is possible to glean much more information from an experimental data set to study matter. In this perspective, we discuss some state-of-the-art data-driven tools to analyze latent effects in data and explain their applicability in natural...
Autores principales: | Rodrigues, Davi Röhe, Everschor-Sitte, Karin, Gerber, Susanne, Horenko, Illia |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907479/ https://www.ncbi.nlm.nih.gov/pubmed/33665584 http://dx.doi.org/10.1016/j.isci.2021.102171 |
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