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Predicting Materials Properties with Little Data Using Shotgun Transfer Learning
[Image: see text] There is a growing demand for the use of machine learning (ML) to derive fast-to-evaluate surrogate models of materials properties. In recent years, a broad array of materials property databases have emerged as part of a digital transformation of materials science. However, recent...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813555/ https://www.ncbi.nlm.nih.gov/pubmed/31660440 http://dx.doi.org/10.1021/acscentsci.9b00804 |