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cond-mat.mtrl-scimachine learninghigh-entropy alloyssuperalloyactive learningadditive manufacturingambiguous dataattention mechanismcoherent ordered precipitationcreep life prediction

On Valency

published · living versions
W_t69mh7dx·v1 · currentpublished
Machine learning enabled design of sustainable alloys considering real world constraints
with Quan Li, Zhilong Wang, Lei Shi, Baojing Feng +8
1 version

Preprints & journals

16 papers in the corpus · 2020–2026
Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data-Scarce Conditions: A Case Study on IN718.42573119 · Lv, Haopeng, Wu, Dayong, Rao, Ziyuan et al.2026 · 0 citationsAdvanced science (Weinheim, Baden-Wurttemberg, Germany). 2026:e77026
Active learning design of bcc solid solution alloys with gigapascal strength and elemental metal-level ductility.41609686 · Wang, Zhixing, Chen, Xiangyue, Zhang, Dongqing et al.2026 · 4 citationsProceedings of the National Academy of Sciences of the United States of America. 2026;123(5):e2530922123
Segregation passivation makes cost-effective stainless steel resistant to corrosion and hydrogen embrittlement.41604488 · Cheng, Hongxu, Luo, Hong, Li, Yue et al.2026 · 10 citationsScience advances. 2026;12(5):eadz1833
Data-Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data.41199664 · Lv, Haopeng, Yin, Jiawei, Wu, Dayong et al.2026 · 2 citationsAdvanced science (Weinheim, Baden-Wurttemberg, Germany). 2026;13(5):e07362
Ductilization of 2.6-GPa alloys via short-range ordered interfaces and supranano precipitates.39847626 · Yan, Yong-Qiang, Cha, Wen-Hao, Liu, Sida et al.2025 · 107 citationsScience (New York, N.Y.). 2025;387(6732):401-406
Active learning strategies for the design of sustainable alloys.39489170 · Rao, Ziyuan, Bajpai, Anurag, Zhang, Hongbin2024 · 12 citationsPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences. 2024;382(2284):20230242
Boosting Coercivity of 3D Printed Hard Magnets through Nano-Modification of the Powder Feedstock.39435622 · Gabriel, Philipp, Nallathambi, Varatharaja, Liu, Jianing et al.2024 · 10 citationsAdvanced science (Weinheim, Baden-Wurttemberg, Germany). 2024;11(46):e2407972
Interpretable Machine Learning for High-Strength High-Entropy Alloy Design2409.14905v2 · Anurag Bajpai, Ziyuan Rao, Abhinav Dixit et al.2024 · 2 citationsarXiv
Interpretable Predicting Creep Rupture Life of Superalloys: Enhanced by Domain-Specific Knowledge.38168537 · Yin, Jiawei, Rao, Ziyuan, Wu, Dayong et al.2024 · 37 citationsAdvanced science (Weinheim, Baden-Wurttemberg, Germany). 2024;11(11):e2307982
Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography.37973821 · Li, Yue, Wei, Ye, Wang, Zhangwei et al.2023 · 64 citationsNature communications. 2023;14(1):7410
The Premartensite and Martensite in Fe50Rh50 System2305.01351v2 · Esmaeil Adabifiroozjaei, Fernando Maccari, Lukas Schaefer et al.2023 · 0 citationsarXiv
Machine learning-enabled high-entropy alloy discovery.36201584 · Rao, Ziyuan, Tung, Po-Yen, Xie, Ruiwen et al.2022 · 757 citationsScience (New York, N.Y.). 2022;378(6615):78-85
Massive interstitial solid solution alloys achieve near-theoretical strength.35232964 · Liu, Chang, Lu, Wenjun, Xia, Wenzhen et al.2022 · 131 citationsNature communications. 2022;13(1):1102
Ultrastrong and Ductile Soft Magnetic High-Entropy Alloys via Coherent Ordered Nanoprecipitates.34337799 · Han, Liuliu, Rao, Ziyuan, Souza Filho, Isnaldi R et al.2024 · 192 citationsAdvanced materials (Deerfield Beach, Fla.). 2021;33(37):e2102139
Crystal-Glass High-Entropy Nanocomposites with Near Theoretical Compressive Strength and Large Deformability.32686224 · Wu, Ge, Balachandran, Shanoob, Gault, Baptiste et al.2020 · 144 citationsAdvanced materials (Deerfield Beach, Fla.). 2020;32(34):e2002619
Career total: 53 works. 16 are in this corpus.

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