406 research outputs found

    3D image data of digitally-generated porous material samples

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    This dataset contains 3D image data of digitally-generated 528 granular porous material samples, which can be used to train a machine learning model for predicting material performance properties from geometric features of porous material samples. The dataset has been prepared in https://doi.org/10.1016/j.cej.2021.130069

    Workflow for materials processing model-driven discovery framework for porous materials using machine learning and genetic algorithm

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    This dataset includes codes and data to describe the workflow of porous material structural optimization
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