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Functional Output Regression for Machine Learning in Materials Science
[Image: see text] In recent years, there has been a rapid growth in the use of machine learning in material science. Conventionally, a trained predictive model describes a scalar output variable, such as thermodynamic, electronic, or mechanical properties, as a function of input descriptors that vec...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597664/ https://www.ncbi.nlm.nih.gov/pubmed/36216342 http://dx.doi.org/10.1021/acs.jcim.2c00626 |