cardiGAN: A Generative Adversarial Network Model for Design and Discovery of Multi Principal Element Alloys (MPEAs)

    Project: Research

    Project Details

    Description

    By combining generative adversarial networks (GANs) with discriminative neural networks (NNs), it is possible to directly generate novel compositions for multi-principle element allots (MPEAs), and to predict their phases. To verify the predictability of the model, alloys will also be produced. Overall, the project herein may offer an approach that can significantly enhance the capacity and efficiency of development of novel MPEAs as advanced materials and for a range of applications.
    StatusFinished
    Effective start/end date27/01/221/02/23

    Funding

    • US Govt Office of Naval Research: A$49,921.00

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