The challenge of studying perovskite solar cells’ stability with machine learning

The challenge of studying perovskite solar cells’ stability with machine learning

Perovskite solar cells are the most dynamic emerging photovoltaic technology and attracts the attention of thousands of researchers worldwide. Recently, many of them are targeting device stability issues–the key challenge for this technology–which has resulted in the accumulation of a significant am...

Full description

Bibliographic Details
Main Authors: Paolo Graniero, Mark Khenkin, Hans Köbler, Noor Titan Putri Hartono, Rutger Schlatmann, Antonio Abate, Eva Unger, T. Jesper Jacobsson, Carolin Ulbrich
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Energy Research
Subjects:
perovskite solar cell
stability
machine learning
figures of merit
learning curves
database
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1118654/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1118654/full

Similar Items