OperatorLearningBG

Operator Learning for Bubble Growth Dynamics

File Structure

Sayan - LSTM + GRU analysis Tarun - Seq2Seq analysis Vivek - DeepONet analysis

Each folder has arch_m-value folders with respective analysis with varying m values.

For plots, each arch_m-value folder (eg: gru_20) has predictions folder which has plots for different l values (length scale of the Gaussian Random Field).

How to run

To run DeepOnet:

pythontrain_don.py

To run Seq2Seq:

pythontrain_seq.py

To run LSTM/GRU:

pythontrain.pyLSTM20pythontrain.pyGRU20

To run analysis on the trained data:

For DeepONet

jupyteranalyze.ipynb

For Seq2Seq

pythonanalyze_seq.py

For LSTM/GRU

pythonanalyze.pyLSTM20pythonanalyze.pyGRU20