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Comparison of Machine Learning Models on Performance of Single- and Dual-Type Electrochromic Devices
[Image: see text] This study shows that the model fitting based on machine learning (ML) from experimental data can successfully predict the electrochromic characteristics of single- and dual-type flexible electrochromic devices (ECDs) by using tungsten trioxide (WO(3)) and WO(3)/vanadium pentoxide...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495761/ https://www.ncbi.nlm.nih.gov/pubmed/32954176 http://dx.doi.org/10.1021/acsomega.0c03048 |