High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

“…Materials Genome Engineering Advances…”
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Harnessing quantum power: Revolutionizing materials design through advanced quantum computation by Zikang Guo, Rui Li, Xianfeng He, Jiang Guo, Shenghong Ju

“…Materials Genome Engineering Advances…”
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A review on inverse analysis models in steel material design by Yoshitaka Adachi, Ta‐Te Chen, Fei Sun, Daichi Maruyama, Kengo Sawai, Yoshihito Fukatsu, Zhi‐Lei Wang

“…Materials Genome Engineering Advances…”
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Predicting the glass transition temperature of polymer based on generative adversarial networks and automated machine learning by Zhanjie Liu, Yixuan Huo, Qionghai Chen, Siqi Zhan, Qian Li, Qingsong Zhao, Lihong Cui, Jun Liu

“…Materials Genome Engineering Advances…”
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Accelerating spin Hall conductivity predictions via machine learning by Jinbin Zhao, Junwen Lai, Jiantao Wang, Yi‐Chi Zhang, Junlin Li, Xing‐Qiu Chen, Peitao Liu

“…Materials Genome Engineering Advances…”
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PDGPT: A large language model for acquiring phase diagram information in magnesium alloys by Zini Yan, Hongyu Liang, Jingya Wang, Hongbin Zhang, Alisson Kwiatkowski da Silva, Shiyu Liang, Ziyuan Rao, Xiaoqin Zeng

“…Materials Genome Engineering Advances…”
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Machine learning‐assisted performance analysis of organic photovoltaics by Sijing Zhong, Jiayi Huang, Hengyu Meng, Zhuo Feng, Qianyue Wang, Zhenyu Huang, Lijie Zhang, Shiwei Li, Weiyang Gong, Yusen Huang, Lei Ying, Ning Li

“…Materials Genome Engineering Advances…”
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Enhancing creep rupture life prediction of high‐temperature titanium alloys using convolutional neural networks by Bangtan Zong, Jinshan Li, Changlu Zhou, Ping Wang, Bin Tang, Ruihao Yuan

“…Materials Genome Engineering Advances…”
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Prediction of dynamic recrystallization behavior of SAE52100 large section bearing steel based on machine learning by Peiheng Ding, Changqing Shu, Shasha Zhang, Zhaokuan Zhang, Xingshuai Liu, Jicong Zhang, Qian Chen, Shuaipeng Yu, Xiaolin Zhu, Zhengjun Yao

“…Materials Genome Engineering Advances…”
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Interpretable machine learning for stability and electronic structure prediction of Janus III–VI van der Waals heterostructures by Yudong Shi, Yinggan Zhang, Jiansen Wen, Zhou Cui, Jianhui Chen, Xiaochun Huang, Cuilian Wen, Baisheng Sa, Zhimei Sun

“…Materials Genome Engineering Advances…”
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Editorial: Shaping the future of materials science through machine learning by Dezhen Xue, Turab Lookman

“…Materials Genome Engineering Advances…”
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