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RESEARCH PAPER · Journal of Materials Informatics · 2023

Data-driven prediction of the glass-forming ability of modeled alloys by supervised machine learning

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42 direct citing works

Data-driven prediction of the glass-forming ability of modeled alloys by supervised machine learningOriginalTuring pattern and chemical medium-range order of metallic glasses10Simulation Calculation of Selective Reflective Films based on Metamaterials and Prediction of Color in Light Filter with Machine Learning10Data-driven optimization and machine learning analysis of compatible molecules for halide perovskite material22Accessing versatile tensile ductility of amorphous materials by fractal nanoarchitecture design6A novel atomic mobility model for alloys under pressure and its application in high pressure heat treatment Al-Si alloys by integrating CALPHAD and machine learning36Exploring structural variances in monatomic metallic glasses using machine learning and molecular dynamics simulation1PyMatterSim: a Python Data Analysis Library for Computer Simulations of Materials Science, Physics, Chemistry, and Beyond2Enhanced Radiative Cooling Performance in P(VDF‐TrFE) Copolymer Based on Phononic Properties3Metallic glass roadmap26Engineering bioactivity and antibacterial properties in mesoporous borosilicate glass nanospheres through magnesium substitution275Modelling Techniquesmodelling techniques to Analyse the Functionality of Metallic Glass Alloysmetallic glass alloys as Biomedical Implantsbiomedical implants: A Mini-review0Monatomic glass formation through competing order balance7Graph learning metallic glass discovery from Wikipedia2Thermodynamic Modeling of Sn–C and Fe–Sn–C Systems for the Tramp Elements Control in Steel Production1Large Language Models (LLMs) for Materials Design14MatterMind: A User‐Friendly Material Design Platform Assisted by Large Language Model0

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  1. Turing pattern and chemical medium-range order of metallic glasses

    Materials Today Physics · 2023-10-14

    Songling Liu, Xinyu Luo, Jingshan Cao, Zhaoyuan Liu, Beibei Xu, Yonghao Sun, Weihua Wang

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  2. Simulation Calculation of Selective Reflective Films based on Metamaterials and Prediction of Color in Light Filter with Machine Learning

    Engineered Science · 2024-01-01

    Xiangtian Gao, Ming–Hsuan Yang, Aricson Pereira, Sijie Guo, Hang Zhang

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  3. Data-driven optimization and machine learning analysis of compatible molecules for halide perovskite material

    npj Computational Materials · 2024-05-29

    Shaojun Wang, Yiru Huang, Wenguang Hu, Lei Zhang

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  4. Accessing versatile tensile ductility of amorphous materials by fractal nanoarchitecture design

    Acta Materialia · 2024-06-12

    Yuan‐Chao Hu, H. Y. Bai, Weihua Wang

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  5. A novel atomic mobility model for alloys under pressure and its application in high pressure heat treatment Al-Si alloys by integrating CALPHAD and machine learning

    Journal of Material Science and Technology · 2024-09-06

    Yi Wang, Sa Ma, Jianbao Gao, Jing Zhong, Tianchuang Gao, Shenglan Yang, Lijun Zhang, Qian Li

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  6. Exploring structural variances in monatomic metallic glasses using machine learning and molecular dynamics simulation

    Journal of Molecular Modeling · 2024-11-12

    Chengqiao Yang, Minhua Sun

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  7. PyMatterSim: a Python Data Analysis Library for Computer Simulations of Materials Science, Physics, Chemistry, and Beyond

    Qeios · 2024-12-10

    Yuan‐Chao Hu, Tian Jian

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  8. Enhanced Radiative Cooling Performance in P(VDF‐TrFE) Copolymer Based on Phononic Properties

    Advanced Optical Materials · 2025-03-11

    Ziman Wang, Ming Yang, Ziyi Wang, Xinyu Wang, Hang Zhang

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  9. Metallic glass roadmap

    Materials Futures · 2025-04-23

    Weihua Wang, Rui Zhao, Rong Han, Ying-Hui Shang, Yong Gang Yang, Songling Liu, Shiyun Zhang, Yuan‐Chao Hu, Yitao Sun, Ming-Xing Li, Lingxiang Shi, Ke-Fu Yao, Jiang Ma, Haibo Ke, Yong Zhao, Bo Zhang, Xin Tong, H. Y. Bai, Sinan Liu, Hai‐Bin Yu, Si Lan, Qi Cheng, Jihan Zhou, Heng Kang, Pengfei Guan, Zhenwei Wu, Huaping Zhang, Peng Luo, Laiquan Shen, Hai‐Bin Yu, Si Meng, Zheng Wang, Hailong Peng, Shuai Ren, Yu Tong, Lijian Song, Juntao Huo, Junqiang Wang, Jing-Li Ren, Peng Wang, Maozhi Li, Bei-Bei Fan, Bo Huang, Jun Yi, Xilei Bian, Qing Wang, Gang Wang, Minqiang Jiang, Yin-Xiao Wang, Zhengwang Zhu, Haifeng Zhang, Chuan-Kun Zhou, Ming Liu, Shaofan Zhao, Jing Zhou, Xuesong Li, Baoan Sun, Zhen Lu, Shu-Jie Pang, Hu-Yang Li, Huaijun Lin, Ji Wang, X S Wang, Yuhan Shen, Cheng-Rong Cao, B.Z. Tang, Peng Yu

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  10. Engineering bioactivity and antibacterial properties in mesoporous borosilicate glass nanospheres through magnesium substitution

    Journal of Non-Crystalline Solids · 2025-05-13

    Cuilian Wen, Siqing Yan, Lijin Luo, Lijin Luo, Junhao Jin, Qianqian Chen, Pengcheng Wang, Xiong Li, Kai Luo, Baisheng Sa

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  11. 75Modelling Techniquesmodelling techniques to Analyse the Functionality of Metallic Glass Alloysmetallic glass alloys as Biomedical Implantsbiomedical implants: A Mini-review

    De Gruyter eBooks · 2025-07-31

    Shubhra Shitole, S. Vincent, Abdel‐Hamid I. Mourad, Priya Sudha

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  12. Monatomic glass formation through competing order balance

    Nature Communications · 2025-09-10

    Yuan‐Chao Hu, Jiasheng Zhai, L.H. Liu, W.W. Zhang, H. Y. Bai, Weihua Wang, Hajime Tanaka

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  13. Graph learning metallic glass discovery from Wikipedia

    AI for Science · 2025-11-04

    Kaichen Ouyang, Shiyun Zhang, Songling Liu, Jiachuan Tian, Yuanhao Li, Hua Tong, H. Y. Bai, Weihua Wang, Yuan‐Chao Hu

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  14. Thermodynamic Modeling of Sn–C and Fe–Sn–C Systems for the Tramp Elements Control in Steel Production

    steel research international · 2025-11-10

    W.J. Park, Michael Bernhard, Youn‐Bae Kang

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  15. Large Language Models (LLMs) for Materials Design

    Advanced Functional Materials · 2025-12-16

    Lei Zhang, Zhaorui Liu, Ben Ni, Quan Wang

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  16. MatterMind: A User‐Friendly Material Design Platform Assisted by Large Language Model

    Materials Genome Engineering Advances · 2026-06-01

    Kaiyang Xu, Yujun Lu, Lifeng Liu, Lei Zhang

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