RESEARCH PAPER · Computational Materials Science · 2023
Reinforcement learning-based knowledge graph reasoning for aluminum alloy applications
Read original paper ↗See where this research leads.
14 direct citing papers in this saved network. Explore the next layer with second-order citations.
Filter Citing Papers Filters active
All journals
No journals match your search.
Most represented first · select one or moreExplore Terms In These PapersHide SuggestionsShow Suggestions
No citing papers match these filters. Change a term or clear filters to see the network again.
Abstract From The Index
Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.
Browse Matching Papers
Papers that cite this work
14 direct citing papers saved.
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
Read original paper ↗ ·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
Read original paper ↗ ·Multi-cloud resource scheduling intelligent system with endogenous security
Electronic Research Archive · 2024-01-01
Nishui Cai, Guofeng He
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·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
Read original paper ↗ ·