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...

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Detalles Bibliográficos
Autores principales: Gok, Elif Ceren, Yildirim, Murat Onur, Eren, Esin, Oksuz, Aysegul Uygun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
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

Internet

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

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