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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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-02-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0247775 |
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