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RESEARCH PAPER · Computational Materials Science · 2023

Reinforcement learning-based knowledge graph reasoning for aluminum alloy applications

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

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42 direct citing works

Reinforcement learning-based knowledge graph reasoning for aluminum alloy applicationsOriginalStudy on anodic oxidation of 2099 aluminum lithium alloy and sealing treatment in environmental friendly solutions19Knowledge Graphs for Materials Discovery: Data Structuring, Reasoning, and Applications0Multi-cloud resource scheduling intelligent system with endogenous security7Semantic integration of diverse data in materials science: Assessing Orowan strengthening14Simulation study on cathode structure optimization of aluminum alloy thin-walled internal spiral deep hole electrochemical machining2Data Augmentation in Medical Materials Science: A Review1MMQA: A Multimodal Question Answering Mental Model Using Reinforcement Learning0Integrated Sharing Platform for Genetic Data of Rare and Precious Metal Materials1AoPSFT: Subplan-Aware Fine-Tuning for Interpretable Multi-turn Reasoning Agents0Reinforcement Learning in Materials Science: Recent Advances, Methodologies and Applications3Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework10Deep Reinforcement Learning-Based Knowledge Graph Reasoning for Autonomous Driving systems2Constructing Bayesian networks from knowledge graphs for risk assessment and causal inference of urban rail transit equipment1High-performance Fe-based superalloys designed via large language models and knowledge graphs0

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14 direct citing papers saved.

  1. Study on anodic oxidation of 2099 aluminum lithium alloy and sealing treatment in environmental friendly solutions

    International Journal of Electrochemical Science · 2023-05-08

    Qiuli Wang, Hongjian Li

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  2. Knowledge Graphs for Materials Discovery: Data Structuring, Reasoning, and Applications

    Journal of Computational and Data-Driven Materials Engineering · 2024-01-01

    Maria Hernandez, Carlos Vega

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  3. Multi-cloud resource scheduling intelligent system with endogenous security

    Electronic Research Archive · 2024-01-01

    Nishui Cai, Guofeng He

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  4. Semantic integration of diverse data in materials science: Assessing Orowan strengthening

    Scientific Data · 2024-04-30

    Bernd Bayerlein, Markus Schilling, Philipp v. Hartrott, Jörg Waitelonis

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  5. Simulation study on cathode structure optimization of aluminum alloy thin-walled internal spiral deep hole electrochemical machining

    The International Journal of Advanced Manufacturing Technology · 2024-06-12

    Lin Tang, Zihan Ren, Qiuxia Luo, Runrong Xue, Jingjing Zhang, Jun Zhang

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  6. Data Augmentation in Medical Materials Science: A Review

    International Conference on Pattern Recognition and Artificial Intelligence (PRAI) · 2024-08-15

    Wenhao Lin, Yifeng Lin, Yuer Yang

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  7. MMQA: A Multimodal Question Answering Mental Model Using Reinforcement Learning

    Asian Conference on Artificial Intelligence Technology (ACAIT) · 2024-11-08

    Fei Lv, Boxu Pan, Zhigang Wang, Yan Zhang, Kai Jun Xu, Yuanyuan Qiao

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  8. Integrated Sharing Platform for Genetic Data of Rare and Precious Metal Materials

    Computers, materials & continua/Computers, materials & continua (Print) · 2025-01-01

    Lin Huang, Ying Zhou, Jingjing Yang

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  9. AoPSFT: Subplan-Aware Fine-Tuning for Interpretable Multi-turn Reasoning Agents

    Communications in computer and information science · 2025-11-08

    Xufeng Zhou, Jiakai Geng, Chiyu Cai, Linjing Li, Daniel Dajun Zeng

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  10. Reinforcement Learning in Materials Science: Recent Advances, Methodologies and Applications

    Acta Metallurgica Sinica (English Letters) · 2025-11-11

    Jiaye Li, Xinyuan Zhang, Chunlei Shang, Xing Ran, Zhe Wang, Chengjiang Tang, Xiaohang Zhang, Mingshuo Nie, Wei Ping Xu, Xin Lu

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  11. Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework

    Next research. · 2025-12-01

    Desmond Edem Primus Klenam

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  12. Deep Reinforcement Learning-Based Knowledge Graph Reasoning for Autonomous Driving systems

    IEEE Transactions on Industrial Informatics · 2026-01-15

    Shichun Yang, Mengyue Zhang, Xinjie Feng, Yiding Hua, Yaoguang Cao

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  13. Constructing Bayesian networks from knowledge graphs for risk assessment and causal inference of urban rail transit equipment

    Accident Analysis & Prevention · 2026-04-30

    Lin Zhu, Shuai Liu, Yuan-Chun Huang, Fang-Sheng Wang, Zhi-Gang Liu

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  14. 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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