Papers citing Steel design based on a large language model
AI4Materials: Transforming the landscape of materials science and enigneering
Review of Materials Research · 2025
Xue Feng Jiang, Dezhen Xue, Yang Bai, William Yi Wang, Jianjun Liu, Mingli Yang, Yanjing Su
Read original paper ↗ ·Knowledge-guided large language model for material science
Review of Materials Research · 2025
Guanjie Wang, Jingjing Hu, Jian Xin Zhou, Sen Liu, Qi Li, Zhimei Sun
Read original paper ↗ ·Applications of natural language processing and large language models in materials discovery
npj Computational Materials · 2025
Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang, Turab Lookman, Yanjing Su
Read original paper ↗ ·High-throughput design strategy for creep-resistance steel using machine learning and optimization algorithm
Materials Today Communications · 2025
Chengbo Pan, Chenchong Wang, Yuqi Zhang, Xiaolu Wei, Wei Xu
Read original paper ↗ ·Interpretable Machine Learning Applications: A Promising Prospect of AI for Materials
Advanced Functional Materials · 2025
Xue Feng Jiang, Huadong Fu, Yang Bai, Lei Jiang, Hongtao Zhang, Weiren Wang, Peiwen Yun, Jingjin He, Dezhen Xue, Turab Lookman, Yanjing Su, Jianxin Xie
Read original paper ↗ ·Building an end-to-end battery recipe knowledge base via transformer-based text mining
Communications Materials · 2025
Daeun Lee, Hiroshi Mizuseki, Jaewoong Choi, Byungju Lee
Read original paper ↗ ·Application of Large Language Models in the AECO Industry: Core Technologies, Application Scenarios, and Research Challenges
Buildings · 2025
Guozong Zhang, Chenyuan Lu, Qianmai Luo
Read original paper ↗ ·Key technologies and applications of large language models for materials science
Scientia Sinica Informationis · 2025
Danyu LUO, Liyang WEN, Bo Chen, Sijia GUO, Huayang Wang, Ziping WAN, Lu Chen, Xin Chen
Read original paper ↗ ·Closed-loop inverse design of high entropy alloys using symbolic regression-oriented optimization
Materials Today · 2025
Shang Zhao, Jinshan Li, Jun Wang, Turab Lookman, Ruihao Yuan
Read original paper ↗ ·Research advances and new insights into multi-source solid waste-derived ceramic foams
Sustainable materials and technologies · 2025
Taijia Li, Guichun He, Zhangsong Jiang, Yilong Duan, Mengfei Liu
Read original paper ↗ ·Multi-objective optimization of corrosion resistance, strength, ductility properties of weathering steel utilizing interpretable attention-based deep learning model
npj Materials Degradation · 2025
Bingxiao Shi, Xin Guo, Luntao Wang, Wenbo Huang, Hong Luo, Lizhi Qin, Guowei Yang, Xuequn Cheng, Xiaogang Li
Read original paper ↗ ·Research on the optimization of seamless steel pipe cooling process based on large language models
AIP Advances · 2025
Qiang Wu, Xi Chen, Mingwen Luo, Ao Li, Qing Yuan, Daliang Yu, Qingwei Dai
Read original paper ↗ ·Development of Microstructural Evolution Models for Hot Rolling Integrating Advanced Numerical Tools
Venue not supplied by source · 2025
C. Rodriguez, U. Mayo, Nerea Isasti, P. Uranga
Read original paper ↗ ·LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels
Journal of Nuclear Materials · 2025
Jian Zhou, Weiren Wang, Xue Feng Jiang, Bing Bai, Yanjing Su
Read original paper ↗ ·Advancing materials discovery through artificial intelligence
Applied Materials Today · 2025
Martin Otyepka, Martin Pykal, Michal Otyepka
Read original paper ↗ ·Large Language Model-based defect detection in context of industry 5.0
International Conference on Green Energy, Computing and Sustainable Technology (GECOST) · 2025
Kai Quan Foong, Saaveethya Sivakumar, King Hann Lim, Chye Ing Lim, Ing Ming Chew, Siew Eng Fui
Read original paper ↗ ·Physically interpretable flow behavior prediction of 42CrMo steel via CA-simulation-informed multimodal deep learning
Materials Science and Engineering A · 2025
Shasha Zhang, Changqing Shu, Guojin Xiang, Jicong Zhang, Xuewei Tao, Xiaolin Zhu, Qiuhao Gu, Liukai Hua, Xue Mei Song, Zhengjun Yao
Read original paper ↗ ·AI‐Driven Decoding of Material Dynamics: From Machine Learning Potentials and Interpretability to Generative Prediction
Advanced Materials · 2025
Long Zhao, Hongxiang Zong
Read original paper ↗ ·Large Language Models (LLMs) for Materials Design
Advanced Functional Materials · 2025
Lei Zhang, Zhaorui Liu, Ben Ni, Quan Wang
Read original paper ↗ ·An LLM-Assisted Multimodal Materials-Informatics Pipeline for Predicting Remanence and Intrinsic Coercivity in Sintered Nd–Fe–B Magnets
SSRN Electronic Journal · 2026
Chunghee Nam
Read original paper ↗ ·Development and Innovative Applications of Data and AI Models in Materials Science
Springer eBooks · 2026
Mei Liu, Zongguo Wang, Yangang Wang, Sheng Meng, Tenglong Lu, Meng Wan, Ziyi Chen, Yuan Yu
Read original paper ↗ ·Large language model-enabled machine learning for high performance Nd–Fe–B permanent magnet design
Journal of Materials Chemistry A · 2026
Zhi Yang, Xiaoxiao Zhang, Weiqiang Liu, Jie Zhang, Mengya Tian, Yingying Ma, Haibo Xu, Xiao Chi, Ming Yue
Read original paper ↗ ·Preparation, Characterization, and Application of Additive Manufacturing Superalloy Data
The minerals, metals & materials series · 2026
Pei Liu, ShiBo Wei, Xueting Ren, Shuai Guan, Guangbao Sun, Guohao Liu, Xin Luo, Xiao Sun, Teng An, Haiyou Huang, Zhongnan Bi
Read original paper ↗ ·Materials Informatics: Emergence to Autonomous Discovery in the Age of AI
Advanced Materials · 2026
Turab Lookman, YuJie Liu, Zhibin Gao
Read original paper ↗ ·A general LLM-powered text mining framework: Applied to extract high entropy alloys
Computational Materials Science · 2026
Haolun Yuan, Jun Zeng, Jie Zuo, Xin Wang, Dingguo Xu
Read original paper ↗ ·Facilitating creep-resistant Al alloy design through a physics-aware integrated machine learning pipeline
Materials Today Communications · 2026
Zhikang Cao, Xiaoyuan Wang, Guorui He, Yichong Li, Yang Yang, Yufei Wang, Haiyan Gao
Read original paper ↗ ·Accelerating materials discovery via AI-Agent integration of large language models and simulation tools
Journal of Materials Informatics · 2026
Xian Wang, Qun Zeng, Dong-Hui Xu, Li Zhang, Gang Jiang, Mingli Yang
Read original paper ↗ ·Progress and opportunities for AI in additively manufactured NiTi-based shape memory alloys
Advanced Powder Materials · 2026
Zhicheng Li, Xingsong Jiang, Lijun Zhang
Read original paper ↗ ·Deep learning-driven innovation in metallic materials: A comprehensive review on microstructure analysis, property prediction, and inverse design
Journal of Material Science and Technology · 2026
Yulin Shengcao, Xu Qin, Qinghang Wang, Huabao Yang, Yanfu Chai, Dabiao Xia, Bin Jiang, Hyoung Seop Kim
Read original paper ↗ ·Alloy design paradigms in additive manufacturing: a new era of material innovation
International Journal of Extreme Manufacturing · 2026
Li Zhao, Tianshu Liu, Hyoung Seop Kim, T. DebRoy, Tomasz Kurzynowski, Konrad Gruber, Xiaowei Hu, Chaolin Tan
Read original paper ↗ ·Comprehensive quality assessment of resistance spot welding: A deep learning and large language models-based approach for process and performance evaluation
Journal of Manufacturing Processes · 2026
Zhongjie Yue, Zuguo Bao, Min Chen, Jia Wang, Baoru Huang, Guobi Tan, Weijian Han
Read original paper ↗ ·Ultra-fast design and application of non-heat-treatable integrated die casting aluminum alloys
npj Computational Materials · 2026
Dong Yang, Junying Min, Wang Yi, Jianbao Gao, Tianchuang Gao, Qiu Ma, Xinxing Wu, Daxiu Jiang, P. Y. Liao, Lijun Zhang
Read original paper ↗ ·DressingGraphRAG: A domain-specific research assistant integrating GraphRAG and LLMs for wound dressing research
Chinese Chemical Letters · 2026
Haodong Jiang, Hongjuan Jin, Miaomiao Zhang, Xiaohang Li, Kaixuan Lyu, Wei Deng, Dapeng Wang
Read original paper ↗ ·Semantic Intelligence in Metallurgy: A Dual‐Stage Language Model Framework for Processing‐Aware Magnesium Alloy Design
Materials Genome Engineering Advances · 2026
Ziliang Lu, Ishwar Kapoor, Takeru Araki, Lu Chen, Tao Song, Yanfang Li, Yang Su, Xiaoqin Zeng, LeYun Wang
Read original paper ↗ ·Data-driven design of Nb-W refractory alloys using Transformer-based stress-strain modeling
Acta Materialia · 2026
Di Wei, Xinyi Pang, Jing Wang, Zhishang Li, Hongxiang Zong, Xiangdong Ding, Turab Lookman, Jun Sun
Read original paper ↗ ·Machine learning applications in metallic materials: Recent advances and future perspectives
Journal of Alloys and Compounds · 2026
Bin Miao, Guan-Qi Lin, Yuan Zhang, Yu-Wei Cheng, Huan Yang
Read original paper ↗ ·Feature screening and sample synthesis for enhancing generalization predictive performance on imbalanced small data: amorphous alloy design
Materials & Design · 2026
Shuaicheng Zhu, Keyan Zhu, Hongtao Zhang, Xingzhi Zhao, Yihuan Cao, Huadong Fu, Jianxin Xie
Read original paper ↗ ·Simulon: An AI ‐Assisted, PyTorch ‐Native Framework of Molecular Dynamics and Modeling
Journal of Computational Chemistry · 2026
Zongxiao Jin, Xiaobo Sun, Xiaoli Xi, Zuoren Nie
Read original paper ↗ ·LLMs in industrial domains: A systematic review of adaptation techniques and applications from the product lifecycle perspective
Advanced Engineering Informatics · 2026
Guanchen Yu, Yitian Wang, Zixuan Wang, Liang Chen, Yu Zheng, Ying Liu
Read original paper ↗ ·Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
Materials Genome Engineering Advances · 2026
Yunze Jia, Yuehui Xian, Yangyang Xu, Pengfei Dang, Xiangdong Ding, Jun Sun, Yumei Zhou, Dezhen Xue
Read original paper ↗ ·Challenges and opportunities in machine learning for metal additive manufacturing: data scarcity and interpretability
Materials Today · 2026
Kai Guo, Songzhe Xu, Chang Sun, Wentao Yan, Jinhui Yan, Hao Yu, C Q Wang, Wei Xu, Jinguo Li, Zhongnan Bi, Tao Hu, Ruixin Zhao, Jiang Wang, Chaoyue Chen, Zhongming Ren
Read original paper ↗ ·Transforming the modelling of nuclear structural materials: A critical review of machine learning approaches
Journal of Alloys and Metallurgical Systems · 2026
Burcu Tasdemir, N.O. Larrosa, Pratheek Shanthraj, Mahmoud Mostafavi, David Barton
Read original paper ↗ ·A survey of agentic materials science and engineering: where are we and where are we going?
Journal of Materials Informatics · 2026
Jiayi Zhu, Longhan Zhang, Yizhang Zhu, Xiaotian Lin, Yifan Wu, Shimin Di, Bang Liu, Yuyu Luo, Tong‐Yi Zhang
Read original paper ↗ ·Intelligent Material Framework for Data Mining and Performance Prediction of Invar Alloy
Rare Metals · 2026
Tongbo Jiang, Chunlei Shang, Hong‐Hui Wu, Mingshuo Nie, Dexin Zhu, Fan Yang, Haoliang Wang, S K Wang, JS Gao, Hongyun Zhao, C ZHANG, XL Mao
Read original paper ↗ ·LightAlloy-Bench: Benchmarking reasoning abilities of large language models in light alloys
Journal of Magnesium and Alloys · 2026
Haoyang Xie, Y Zhang, Yan Zini, Turab Lookman, Xiangdong Guo, Shuzhou Li, Haoyang Fu, Shiyu Liang, Ziyuan Rao, Xiaoqin Zeng
Read original paper ↗ ·Intelligent visualization-driven materials design via two-dimensional symbolic feature generation
Journal of Materials Informatics · 2026
Wei Yong, Hongtao Zhang, Zhuang Li, Jie He, Chubo Chen, Yaxin Gao, Huadong Fu, Jianxin Xie
Read original paper ↗ ·A large language model-based framework for fatigue life prediction of steels across spatiotemporal scales
Journal of the Mechanics and Physics of Solids · 2026
Xiaowen Deng, Ziyi Wang, Yanan Hu, Ruilin Tang, Xu Zhang, Qianhua Kan, Guozheng Kang
Read original paper ↗ ·Dialectical systems framework for LLM applications in intelligent construction and operation
Automation in Construction · 2026
Xiaoxiao Xu, Zonglin Li
Read original paper ↗ ·Transformative power of AI-driven knowledge extraction in materials science: From fragmented pipelines to unified understanding
Journal of Energy Chemistry · 2026
Suyu Jin, Guangxuan Song, Hengju Xiang, Zhongheng Fu, Xinzheng Zhang, Jiamin Pei, Tian Zhang, Wenxuan Fan, Qiuji Wang, Dawei Zhang
Read original paper ↗ ·High-performance Fe-based superalloys designed via large language models and knowledge graphs
Acta Materialia · 2026
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 ↗ ·