Physics-informed time-series forecasting of perovskite photoluminescence stability

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Authors: Alexander Wieczorek, Manuel Kober‐Czerny, Fábio Lopes, Nathan Rodkey, Sebastian Siol
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Abstract

A physics-informed time-series forecasting algorithm designed to predict the long-term photoluminescence stability of metal halide perovskites using a hybrid CNN-LSTM model.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026