Romaric1331/CNN_Peak_Fitting_TRPES_Spectra_Analysis

This project focuses on using Convolutional Neural Networks (CNNs) to accurately quantify chemical states via Time-Resolved Photoemission Spectroscopy (TRPES) for Perovskite Solar Cells. It also aims to determine uncertainty with Bayesian Neural Networks.

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