Machine Learning-Assisted Prediction of Ambient-Processed Perovskite Solar Cells’ Performances

Machine Learning-Assisted Prediction of Ambient-Processed Perovskite Solar Cells’ Performances

As we move towards the commercialization and upscaling of perovskite solar cells, it is essential to fabricate them in ambient environment rather than in the conventional glove box environment. The efficiency of ambient-processed perovskite solar cells lags behind those fabricated in controlled envi...

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Bibliographic Details
Main Authors: Dowon Pyun, Seungtae Lee, Solhee Lee, Seok-Hyun Jeong, Jae-Keun Hwang, Kyunghwan Kim, Youngmin Kim, Jiyeon Nam, Sujin Cho, Ji-Seong Hwang, Wonkyu Lee, Sangwon Lee, Hae-Seok Lee, Donghwan Kim, Yoonmook Kang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
ambient processed
perovskite solar cells
dew point
artificial intelligence
machine learning
Online Access:https://www.mdpi.com/1996-1073/17/23/5998
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