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RESEARCH PAPER · Materials · 2022

A Knowledge Transfer Framework for General Alloy Materials Properties Prediction

Hang Sun, Heye Zhang, Guangli Ren, Chao Zhang

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9 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

A Knowledge Transfer Framework for General Alloy Materials Properties PredictionOriginalOperationalizing "Material Similarity" for Domain Adaptation: A Definitional Boundary for Composition-Transfer Learning0Alloys innovation through machine learning: a statistical literature review14Modeling Techniques1Self-Supervised Multimodal Large Model for Cross-Language and Cross-Modal Knowledge Transfer1Transferable predictions of energetic and structural properties for refractory solid solution alloys across chemical compositions2Transfer learning-enabled performance prediction of metallic materials: Methods, applications and prospects6Hierarchical Hilbert–Huang Transform assisted hybrid transfer learning for layer-wise heat transfer coefficients prediction in investment casting0Cross-Alloy Transfer Learning With Transferability Assessment for Mechanical Property Prediction of Lead-Free Solders0A Transfer-Learning and Continuous Optimization-Based Framework for Predicting Heat Treatment-Dependent Mechanical Properties of DED-Processed Low-Alloy Steels0

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  1. Operationalizing "Material Similarity" for Domain Adaptation: A Definitional Boundary for Composition-Transfer Learning

    Journal of Computational and Data-Driven Materials Engineering · 2023-01-01

    Sanjay Kulkarni, Meenal Joshi, Rohan Patil, Aniket Deshmukh

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  2. Alloys innovation through machine learning: a statistical literature review

    Science and Technology of Advanced Materials Methods · 2024-03-04

    Alireza Valizadeh, Ryoji Sahara, Maaouia Souissi

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  3. Modeling Techniques

    SpringerBriefs in applied sciences and technology · 2025-01-01

    Arnold Ano-os Lubguban, Arnold C. Alguno, Roberto M. Malaluan, Gerard G. Dumancas

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  4. Self-Supervised Multimodal Large Model for Cross-Language and Cross-Modal Knowledge Transfer

    IEEE International Conference on Electronic Technology, Communication and Information (ICETCI) · 2025-05-23

    Chaofan Liao, Zexuan Jin, Zhiwei Zhang

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  5. Transferable predictions of energetic and structural properties for refractory solid solution alloys across chemical compositions

    Computational Materials Science · 2025-05-24

    Massimiliano Lupo Pasini, Pei Zhang, Jong Youl Choi, German D. Samolyuk, Markus Eisenbach, Ying Yang

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  6. Transfer learning-enabled performance prediction of metallic materials: Methods, applications and prospects

    International Journal of Minerals Metallurgy and Materials · 2026-02-23

    Yufan Liu, Dexin Zhu, Zhihao Tian, Jiayi Liu, Xing Ran, Zhe Wang, Chengjiang Tang, Lifei Wang, Wei Ping Xu, Xin Pei Lu

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  7. Hierarchical Hilbert–Huang Transform assisted hybrid transfer learning for layer-wise heat transfer coefficients prediction in investment casting

    Expert Systems with Applications · 2026-06-20

    Hsuan-Fan Chen, Chia-Yu Kao, Yu-Hao Pan, Zih-Siang Hung, Yiin‐Kuen Fuh

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  8. Cross-Alloy Transfer Learning With Transferability Assessment for Mechanical Property Prediction of Lead-Free Solders

    IEEE Transactions on Components Packaging and Manufacturing Technology · 2026-07-23

    Qais Qasaimeh, Waad Tarman, Daniel F. Silva, Sa’d Hamasha, Jia Peter Liu

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  9. A Transfer-Learning and Continuous Optimization-Based Framework for Predicting Heat Treatment-Dependent Mechanical Properties of DED-Processed Low-Alloy Steels

    Metals · 2026-08-10

    Atiqur Rahman, Sung-Heng Wu, Ranjit Joy, Frank Liou

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