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Journal of Materials Informatics cover

Journal of Materials Informatics

IF5.6
Papers36
Citations349
Journal Papers 36
Publication Date
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Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys
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IF5.6
delete2026-03-01
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deleteWu, Chenggang; Liao, Mingqing; Zhou, Xinyi; Chen, Jinwei; Qian, Xiangrui; Wang, Yuehua; Zhou, Fei; Wang, Fengjiang
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Advances in graph neural networks for alloy design and properties predictions: a review
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IF5.6
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deleteZhao, Zhede; Hu, Tao; Bi, Shuyu; Guan, Dongwei; Xu, Songzhe; Chen, Chaoyue; Xuan, Weidong; Ren, Zhongming
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Multiscale simulations of Ge-Sb-Se-Te phase-change alloys for photonic memory applications
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IF5.6
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deleteLi, Huiyu; Zhang, Hanyi; Ma, Wanting; Gao, Yuan; Zhou, Wen; Zhang, Wei
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Agentic material science
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IF5.6
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deleteLi, Chengbo; Ran, Nian; Liu, Jianjun
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A data-driven comparative study of thermomechanical properties in rare-earth zirconate and tantalate oxides for thermal barrier coatings
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IF5.6
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deleteZhang, Ying; Wang, William Yi; Ren, Ke; Wang, Zhou; Gao, Xingyu; Wang, Yiguang; Zhang, Keke; Song, Haifeng; Liang, Xiubing; Li, Jinshan
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Machine learning-driven new paradigm for Co-based superalloys
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IF5.6
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deleteLuo, Jiahao; Liu, Xili; Ma, Qingshuang; Pei, Chenghao; Yao, Huiwen; Xiong, Jie; Gao, Qiuzhi
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Multi-fidelity learning in materials informatics: methodologies, applications, and outlook
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IF5.6
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deleteWang, Bo; Xu, Yangyang; Zhou, Yumei; Xue, Dezhen
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Accelerating materials discovery via AI-Agent integration of large language models and simulation tools
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IF5.6
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deleteWang, Xian; Zeng, Qun; Xu, Dong-Hui; Zhang, Li; Jiang, Gang; Yang, Mingli
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Multi-objective optimization of fiber laser welding parameters for 316L stainless steel
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IF5.6
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deleteLi, Shuai; Wu, Jianzhao; Li, Chunjin; Zhang, Chaoyong; Xie, Yang
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Quantification and rating of casting blowhole defects using an instance segmentation algorithm
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IF5.6
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deleteDuan, Zhiqiang; Pan, Yue; Hou, Hua; Zhao, Yuhong
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Uncertainty estimation affects predictor selection and its calibration improves materials optimization
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IF5.6
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deleteJiang, Yuan; Li, Jinshan; Yuan, Tinghuan; Wang, Jun; Tang, Bin; Mao, Xinping; Li, Gang; Yuan, Ruihao
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Machine learning-accelerated transition state prediction for strain-engineered high-entropy alloy catalysts
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IF5.6
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deleteWang, Lei; Zhou, Feiyu; Ying, Penghua; Chen, Yan; Liu, Yilun
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Advancing carbon dots research with machine learning: a comprehensive review
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IF5.6
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deleteRen, Yuze; Yan, Xuetao; Fang, Rongwei; Deng, Haibo; Chen, Yingying; Li, Zhenzhen; Feng, Lingyan; Qu, Xiaogang
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Computer vision for efficient object detection and segmentation in molecular image analysis
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IF5.6
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deleteYuan, Shaoxuan; Zhu, Zhiwen; Lu, Jiayi; Cai, Liangliang; Sun, Qiang
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The synergy of geometric tolerance factor and machine learning in discovering stable materials
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IF5.6
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deleteWang, Zhilong; You, Fengqi
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Enhanced multi-tuple extraction for materials: integrating pointer networks and augmented attention
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deleteHei, Mengzhe; Zhang, Zhouran; Liu, Qingbao; Pan, Yan; Zhao, Xiang; Peng, Yongqian; Ye, Yicong; Zhang, Xin; Bai, Shuxin
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Physically synthesized data for deep learning-based visual scratch inspection of aerospace alloys with complex geometries
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IF5.6
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deleteWang, Yuanbin; Bai, Yupeng; Wang, Peng; Wang, Wenhu; Zhu, Mingzhu; Luo, Ming
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Stacked machine learning for accurate and interpretable prediction of MXenes' work function
deleteJOURNAL OF MATERIALS INFORMATICS
IF5.6
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deleteShang, Lijun; Yang, Yongli; Yu, Yadong; Xiang, Pan; Ma, Li; Guo, Zhonglu; Dai, Mengyan
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Ultralow thermal conductivity via weak interactions in PbSe/PbTe monolayer heterostructure for thermoelectric design
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IF5.6
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deleteTan, Ruihao; Zhang, Kaiwang; Fang, Yue-Wen
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Unlocking the future of materials science: key insights from the DCTMD workshop
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IF5.6
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deleteKobayashi, Rika; Amos, Roger D.; Crawford, T. Daniel; Hao, Hongxia; Liu, Yi; Lookman, Turab; Ramprasad, Rampi; Scheffler, Matthias; Wang, Hong; Zhang, Tong-Yi
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