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A hybrid deep learning model for robust and data-efficient lithium-ion battery remaining useful life prediction

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DOI: 10.20517/jmi.2025.80 19 Dec 2025

Machine learning-driven morphology identification and classification of high-throughput functional oxide films

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DOI: 10.20517/jmi.2025.76 8 Dec 2025

ABC₂-type short-wave infrared photodetector materials discovered via high-throughput screening and machine learning

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Machine learning-enabled design and lifetime prediction of solid oxide fuel cells

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Computational strategies for high strength and thermal conductivity casting Mg/Al alloys design

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DOI: 10.20517/jmi.2025.99 26 Mar 2026

A hybrid deep learning model for robust and data-efficient lithium-ion battery remaining useful life prediction

DOI: 10.20517/jmi.2025.80

Mengkang Xu, Shihao Xing, Jianhe Hong, Xinpeng Tian, Boyuan Huang, Hongyun Jin, Jiangyu Li

Machine learning-driven morphology identification and classification of high-throughput functional oxide films

DOI: 10.20517/jmi.2025.76

Qianxin Chen, Xiangdong Wang, Liyufen Dai, Hongjia Song, Jinbin Wang, Xiangli Zhong, Juan Zou, Gaokuo Zhong

ABC₂-type short-wave infrared photodetector materials discovered via high-throughput screening and machine learning

DOI: 10.20517/jmi.2025.89

Xiaoning Guan, Yanan Zhang, Suwen Han, Chunlian Xiong, Yuqing Yang, Changcheng Chen, Fan Zhang, Yanchao Zhang, Huachuan Gao, Feng Zhou, Pengfei Guan, Pengfei Lu

Machine learning-enabled design and lifetime prediction of solid oxide fuel cells

DOI: 10.20517/jmi.2025.100

Shimeng Kang, Yunjia Cui, Bin Miao, Zhihua Deng, Xuerui Zhang, Haolong Li, Haijun Zhong, Siyu Liu, Yexin Zhou, Siew Hwa Chan, Zheng Zhong, Zehua Pan

Computational strategies for high strength and thermal conductivity casting Mg/Al alloys design

DOI: 10.20517/jmi.2025.99

Yunjian Chen, Ling Hu, Hongcan Chen, Kai Tang, Bin Liu, Yu Zhang, Bin Hu, Qun Luo, Qian Li

Pre-onlines

A hybrid deep learning model for robust and data-efficient lithium-ion battery remaining useful life prediction

Machine learning-driven morphology identification and classification of high-throughput functional oxide films

ABC₂-type short-wave infrared photodetector materials discovered via high-throughput screening and machine learning

Machine learning-enabled design and lifetime prediction of solid oxide fuel cells

Computational strategies for high strength and thermal conductivity casting Mg/Al alloys design

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

Pre-onlines

A hybrid deep learning model for robust and data-efficient lithium-ion battery remaining useful life prediction

Machine learning-driven morphology identification and classification of high-throughput functional oxide films

ABC2-type short-wave infrared photodetector materials discovered via high-throughput screening and machine learning

Machine learning-enabled design and lifetime prediction of solid oxide fuel cells

Computational strategies for high strength and thermal conductivity casting Mg/Al alloys design

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

ABC₂-type short-wave infrared photodetector materials discovered via high-throughput screening and machine learning