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LSTM-EED-Prediction

An end-to-end deep learning project that predicts Elastic Energy Density characterising the electrolyte damage in Solid-state electrolytes using a Stacked Long Short-Term Memory (LSTM) neural network built with TensorFlow/Keras.

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Elastic energy density prediction from the phase-field simulation data

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