Predictive modeling of electrochromic performance in ammonium metatungstate solutions using machine learning algorithms

Predictive modeling of electrochromic performance in ammonium metatungstate solutions using machine learning algorithms

This research explores the application of machine learning (ML) in the domain of electrochromic (EC) technology, focusing specifically on liquid-state electrochromic devices (ECDs). Unlike traditional solid-state ECDs, liquid devices offer a simpler structure, reducing manufacturing variables and po...

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Bibliographic Details
Main Authors: Bocheng Jiang, Honglong Ning, Muyun Li, Rihui Yao, Chenxiao Guo, Yucheng Huang, Zijie Guo, Dongxiang Luo, Dong Yuan, Junbiao Peng
Format: Article
Language:English
Published: AIP Publishing LLC 2025-02-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0247775
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