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RESEARCH PAPER · Acta Materialia · 2025

Design of superalloys with multiple properties via multi-task learning

Weiren Wang, Xue Feng Jiang, Wenyao Li, Chi Zhang, Pei Liu, Shaohan Tian, Turab Lookman, Yanjing Su

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Design of superalloys with multiple properties via multi-task learningOriginalOmicsTransformer: Gated Omics Model for Breast Cancer Classification & Survival1Rapid Discovery of High-Performance Additive Manufacturing Superalloys Using High-Throughput and Artificial Intelligence Methods0Transient micro-liquid phase HIP sintering of powder metallurgy superalloys achieved by a binary composition-splitting strategy0Machine learning assisted study of the alloying effects of Al and W on the microstructural stability and mechanical property of multi-component CoNi-base superalloys1High-performance Fe-based superalloys designed via large language models and knowledge graphs0Automated high-throughput data collection and analysis of composition-process-structure relations by utilizing casting segregation in a Ni-base superalloy0Knowledge-guided descriptors for multi-property prediction and candidate screening of superalloys0Knowledge‐Constrained Multi‐Objective Reinforcement Learning for Simultaneous Optimization of Printability and Mechanical Properties in Additively Manufactured Superalloys0

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  1. OmicsTransformer: Gated Omics Model for Breast Cancer Classification & Survival

    International Conference on Artificial Intelligence and Computer Engineering (ICAICE) · 2025-11-07

    Zhongqiang Li, Qingqing Li

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  2. Rapid Discovery of High-Performance Additive Manufacturing Superalloys Using High-Throughput and Artificial Intelligence Methods

    Metallurgical and Materials Transactions A · 2025-12-16

    Pei Liu, Xueting Ren, Shuai Guan, Guangbao Sun, Guohao Liu, Xin Luo, Xiao Sun, Teng An, Zhongnan Bi

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  3. Transient micro-liquid phase HIP sintering of powder metallurgy superalloys achieved by a binary composition-splitting strategy

    Journal of Materials Research and Technology · 2025-12-25

    Tao Wu, Wanli Wang, Xihui Ye, Zheng Ye, Xiaopei Wang, Jihua Huang

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  4. Machine learning assisted study of the alloying effects of Al and W on the microstructural stability and mechanical property of multi-component CoNi-base superalloys

    Journal of Alloys and Compounds · 2026-06-23

    Biao Qiu, Fan Lu, Wendao Li, Jie Yang, Songsong Hu, Manxiu Zhao

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  5. High-performance Fe-based superalloys designed via large language models and knowledge graphs

    Acta Materialia · 2026-08-17

    Dexin Zhu, Mingshuo Nie, Hong‐Hui Wu, Chunlei Shang, Shuize Wang, Junheng Gao, Haitao Zhao, Chaolei Zhang, Yuhe Huang, Xinping Mao, Turab Lookman

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  6. Automated high-throughput data collection and analysis of composition-process-structure relations by utilizing casting segregation in a Ni-base superalloy

    Materials & Design · 2026-08-18

    Thomas Hoefler, Ayako Ikeda, Satoshi Utada, Makoto Osawa, 川岸 京子, Toru Hara, Takahito Ohmura, Daichi Akama, Masaki Taneike, Toshio Osada

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  7. Knowledge-guided descriptors for multi-property prediction and candidate screening of superalloys

    Materials Today Communications · 2026-09-01

    Weiren Wang, Xue Jiang, Yanjing Su

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  8. Knowledge‐Constrained Multi‐Objective Reinforcement Learning for Simultaneous Optimization of Printability and Mechanical Properties in Additively Manufactured Superalloys

    Materials Genome Engineering Advances · 2026-09-25

    Pei Liu, Xueting Ren, ShiBo Wei, Shuai Guan, Guohao Liu, Teng An, Haiyou Huang, Bi Zhongnan

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