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Reinforcement learning world models for catalyst surface reconstruction: state-of-the-art review
ReviewOPEN ACCESS
Aisha Samreen, Muhammad Azim, Fuyi Chen
DOI: 10.55092/aimat20250011
Published: 30 Jul, 2025
Materials discovery through reinforcement learning: a comprehensive review
ReviewOPEN ACCESS
Nazir Ahmed, Muhammad Umar Farooq, Fuyi Chen
DOI: 10.55092/aimat20250010
Published: 06 Jun, 2025
AI and materials — advancing the frontiers of science and technology
EditorialOPEN ACCESS
Shiyu Du, Rabah Boukherroub
DOI: 10.55092/aimat20250009
Published: 01 Apr, 2025
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Editor's Choice
Electronic structure and nuclear-environment applications of MAX phases: a theoretical perspective
ReviewOPEN ACCESS
Yanmei Chen, Shijun Zhao, Yiming Zhang, Yalin Li, Xinlei Gu, Ke Chen, Jianming Xue, Qing Huang
DOI: 10.55092/aimat20250008
Published: 31 Mar, 2025
Integrating AI and material science: MXene synthesis, preparation, and applications
ReviewOPEN ACCESS
Kexin Lv, Hengcheng Wan, Chenchen Qi, Wenwei Wang, Xiang Liu, Lei Zhang, Hongsen Wei, Hongjie Zhu, Yumo Wang, Juhong Yu, Shiyu Du
DOI: 10.55092/aimat20250004
Published: 21 Jan, 2025
Data-efficient and interpretable inverse materials design using a disentangled variational autoencoder
ArticleOPEN ACCESS
Cheng Zeng, Zulqarnain Khan, Nathan Post
DOI: 10.55092/aimat20250002
Published: 17 Dec, 2024
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Top Downloaded
Research progress on SiCf/SiC composites and their cladding components
ReviewOPEN ACCESS
Liangliang Shen, Xiulun Li, Yi Zhang, Weidong Yan, Yufeng Dai, Hongyin Li, Jian Xu
DOI: 10.55092/aimat20250001
Published: 29 Nov, 2024
Data-efficient and interpretable inverse materials design using a disentangled variational autoencoder
ArticleOPEN ACCESS
Cheng Zeng, Zulqarnain Khan, Nathan Post
DOI: 10.55092/aimat20250002
Published: 17 Dec, 2024
EPG-GAN: edge-guided progressive growing generative adversarial network for mammogram synthesis
ArticleOPEN ACCESS
Shangyu Wang, Shaoping Wang
DOI: 10.55092/aimat20250007
Published: 27 Feb, 2025
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