Materials Genome Engineering Advances Ethical requirements

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Ethical requirements

Pubdate: 2024-07-09 Viewed: 67

Editorial: Shaping the future of materials science through machine learning

Dezhen Xue, Turab Lookman

https://doi.org/10.1002/mgea.80

High-dimensional Bayesian optimization for metamaterial design

Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

https://doi.org/10.1002/mgea.79

Predicting the glass transition temperature of polymer based on generative adversarial networks and automated machine learning

Zhanjie Liu, Yixuan Huo, Qionghai Chen, Siqi Zhan, Qian Li, Qingsong Zhao, Lihong Cui, Jun Liu

https://doi.org/10.1002/mgea.78

PDGPT: A large language model for acquiring phase diagram information in magnesium alloys

Zini Yan, Hongyu Liang, Jingya Wang, Hongbin Zhang, Alisson Kwiatkowski da Silva, Shiyu Liang, Ziyuan Rao, Xiaoqin Zeng

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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