Published January 8, 2026 | Version v1.0.0
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Physics-informed time-series forecasting of perovskite photoluminescence stability

  • 1. Empa-Swiss Federal Laboratories for Materials Science and Technology

Description

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.

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Files

Empa-CT/pl-forecasting-v1.0.0.zip

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