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Materials Genome Engineering Advances
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Pubdate: 2024-07-09 Viewed: 65
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Editorial: Shaping the future of materials science through machine learning
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Predicting the glass transition temperature of polymer based on generative adversarial networks and automated machine learning
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PDGPT: A large language model for acquiring phase diagram information in magnesium alloys
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https://doi.org/10.1002/mgea.77
Interpretable machine learning for stability and electronic structure prediction of Janus III–VI van der Waals heterostructures
Yudong Shi, Yinggan Zhang, Jiansen Wen, Zhou Cui, Jianhui Chen, Xiaochun Huang, Cuilian Wen, Baisheng Sa, Zhimei Sun
https://doi.org/10.1002/mgea.76
Prediction of dynamic recrystallization behavior of SAE52100 large section bearing steel based on machine learning
Peiheng Ding, Changqing Shu, Shasha Zhang, Zhaokuan Zhang, Xingshuai Liu, Jicong Zhang, Qian Chen, Shuaipeng Yu, Xiaolin Zhu, Zhengjun Yao
https://doi.org/10.1002/mgea.75
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