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.
Status | Finished |
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Effective start/end date | 27/01/22 → 1/02/23 |
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