Physics-informed time-series forecasting of perovskite photoluminescence stability
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