Spatiotemporally learning the morphological and dynamic features of Au meltpool under different heat source types with phase-field informed U-Net framework

Description of the Dataset: numerical_convergence_computational_efficiency_test.zip: This folder consists of the data and codes related to Appendix D (compute time calculation at different values of diffuse interface width, data at the completion of numerical simulation at 10th iteration, calculation time by local computer, portable computer and cloud based computer) fea_input_files_and_data.zip: the directory contains the input file for muptiphysical phase field simulations, and their results machine_learning_simulations_results.zip: the results of the ML simulations for different heat source and driving force expressions. the files are in npy format. quantification_of results_and_postprocessing.zip: the folder consists of the ipynb files depicting how the results of the FEM simulations are postprocessed using python based computing. virtual_digital_twin_additive_manufacturing.zip: the data and codes for deployment of the virtual digital twin for additive manufacturing simulations_videos_animations.zip: the videos datasets of simulations and animations. trained_machine_learning_models.zip: the pt files of trained (saved) model for PhaseNet (microtwin) and VelNet(flowtwin) are available in this directory.