Papers citing Automated pipeline for superalloy data by text mining
Empowering Generalist Material Intelligence with Large Language Models
Advanced Materials · 2025-05-12
Wenhao Yuan, Guangyao Chen, Zhilong Wang, Fengqi You
Read original paper ↗ ·Design of superalloys with multiple properties via multi-task learning
Acta Materialia · 2025-05-22
Weiren Wang, Xue Feng Jiang, Wenyao Li, Chi Zhang, Pei Liu, Shaohan Tian, Turab Lookman, Yanjing Su
Read original paper ↗ ·A knowledge acquisition automatizing framework from literature exemplified by Na+ activation energy prediction of NASICON solid-state electrolyte
Energy storage materials · 2025-06-09
Yue Liu, Dahui Liu, Zhengwei Yang, Xianyuan Ge, Wenxuan Yao, Jie Wu, Maxim Avdeev, Siqi Shi
Read original paper ↗ ·Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning
Materials & Design · 2025-06-12
Xinpeng Zhao, Haiyou Huang, Yanjing Su, Lijie J. Qiao, Yu Jing Yan
Read original paper ↗ ·Automated system for high-throughput process-structure-property dataset generation of structural materials: A γ/γ′ superalloy case study
Materials & Design · 2025-06-20
Thomas Hoefler, Teruyuki Ikeda, Toshio Osada, Toru Hara, Kyoko Hashi Kawagishi, Takahito Ohmura
Read original paper ↗ ·Generalizable descriptors for automatic titanium alloys design by learning from texts via large language model
Acta Materialia · 2025-07-02
Ping Wang, Yuan Jiang, Weijie Liao, Rong Wang, Minjie Lai, Hongchao Kou, Xiubing Liang, Jinshan Li, Turab Lookman, Ruihao Yuan
Read original paper ↗ ·Synergizing a knowledge graph and large language model for relay catalysis pathway recommendation
National Science Review · 2025-07-08
Feng Fu, Qingqing Li, Fangrong Wang, Jie Hu, Tiantian Wang, Yun‐Pei Liu, Weihong Xu, Zhili Lin, Fu‐Qiang Gong, Qiyuan Fan, Jeff Z. Pan, Ye Wang, Jun Jie Cheng
Read original paper ↗ ·Use of Large Language Models for Extracting and Analyzing Data from Heterogeneous Catalysis Literature
ACS Catalysis · 2025-08-11
Benjamin W. Walls, Suljo Linic
Read original paper ↗ ·LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels
Journal of Nuclear Materials · 2025-10-25
Jian Zhou, Weiren Wang, Xue Feng Jiang, Bing Bai, Yanjing Su
Read original paper ↗ ·Mechanical and Electrical Properties dataset of Cu-Cr-X alloys generated with automated figure data extraction
Scientific Data · 2025-12-11
Peiwen Yun, Huadong Fu, Hongtao Zhang, Lei Jiang, Xingyu Xiao, Shuaicheng Zhu, Yujiao Jia, Changtai Li, Wenjin Yang, Jianxin Xie
Read original paper ↗ ·Large Language Models and Machine Learning Framework for Predicting Dental Ceramics Performance
International Dental Journal · 2025-12-31
Houqi Zhou, Yaxin Bai, Yuan Chen, Dongqi Fan, Peng Wang, Ping Ji, Tao Chen
Read original paper ↗ ·BigMixSolDB: extraction of a solubility database in solvent mixtures with an uncertainty-quantified large language model-based pipeline
Digital Discovery · 2026-01-01
Andrei Voinea, Anna C. M. Thöni, Elija Veenman, Wilhelm T. S. Huck, Tal Kachman, Mathijs F. J. Mabesoone
Read original paper ↗ ·Large language models for porous materials: from text mining to autonomous laboratory
Digital Discovery · 2026-01-01
Seunghee Han, Taeun Bae, Junho Kim, Youjin Kim, Young-Hun Kim, Jihan Kim, Jihan Kim
Read original paper ↗ ·Machine learning-guided design principles for single-atom catalysts in persulfate-based advanced oxidation processes
Journal of Materials Chemistry A · 2026-01-01
Zijun Kong, Huayue Kang, Shibo Gao, Meng Du, Hongda Zhang, Yidi Chen, Nanqi Ren
Read original paper ↗ ·Dual engine-driven strategy for advanced copper alloy design employing large language models
Acta Materialia · 2026-01-03
Fei Tan, Zixuan Zhao, Yanbin Jiang, Wenchao Zhang, Tong Xie, Wei Chen, Muzhi Ma, Y. Liu, Yanpeng Ye, Zhu Qiang Xiao, Qian Lei, Guofu Xu, Jie Ren, Yuyuan Zhao, Zhou Li
Read original paper ↗ ·Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives
Materials Science and Engineering R Reports · 2026-01-14
Bingbing Yin, Yong Wei, Jiarui Zhu, Haoyu Ge, Shuaicheng Zhu, Yunwei Gui, Wenjing Zhang, Huadong Fu, Jinghe Xie
Read original paper ↗ ·Text mining-assisted machine learning prediction and experimental validation of emission wavelengths
npj Computational Materials · 2026-01-23
Lin Huang, Xinyu Zhang, Shuxing Li, Rongjun Xie
Read original paper ↗ ·A comprehensive review of machine learning for superalloys: from data-driven prediction to intelligent design
Progress in Natural Science Materials International · 2026-02-01
Linlin Sun, Jie Xiong, Qingshuang Ma, Chenghao Pei, Huijun Li, Qiuzhi Gao
Read original paper ↗ ·Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy
Advanced Science · 2026-02-16
Dianyuan Li, Xichen Sun, Shaohua Sun, Runzhou Wang, Miaomiao Zhang, Meng Xiao, Yue Wang, Yuezhou Zhang
Read original paper ↗ ·Use of Machine Learning and Large Language Models in Chemical Information Extraction
Annual Review of Chemical and Biomolecular Engineering · 2026-02-23
Yufan Chen, Yuxuan Zhang, Haifan Zhou, Ching Ting Leung, Hanyu Gao
Read original paper ↗ ·Fine-Tuning Large Language Models for the Efficient and Concurrent Extraction of Fuel Properties
Applied Sciences · 2026-03-29
Abdulelah S. Alshehri
Read original paper ↗ ·Enhanced multi-tuple extraction for materials: integrating pointer networks and augmented attention
Journal of Materials Informatics · 2026-03-30
Mengzhe Hei, Zhouran Zhang, Qingbao Liu, Yan Pan, Xiang Zhao, Yongqian Peng, Yicong Ye, Xin Zhang, Shuxin Bai
Read original paper ↗ ·Enhancing high-temperature oxidation resistance and wear performance of graphite via pitch-coated h-BN
Tribology International · 2026-03-30
Qiaoqiao Fang, Xun He, Xueli Wu, Kehong Wang, Hao Luo, Ping Liu, Ping Liu, Hongyi Yan, Chongwei Li, Chuanjun Tu, Yanli Liu
Read original paper ↗ ·Multi-fidelity learning in materials informatics: methodologies, applications, and outlook
Journal of Materials Informatics · 2026-03-30
Bo Wang, Yangyang Xu, Yumei Zhou, Dezhen Xue
Read original paper ↗ ·Automated distillation of composition–processing–structure–performance linkages from fragmented and multi-modal materials literature
Materials & Design · 2026-05-18
Zixuan Zhao, Fei Tan, Tong Xie, Wei Chen, Jingpeng Yu, YanPeng Ye, Zekun Liao, Guofu Xu, Byungju Lee, Yanbin Jiang, Zhou Li
Read original paper ↗ ·Artificial Intelligence for Materials Science: Transforming Research Paradigms
Chemical Reviews · 2026-05-20
Yue Li, Shurui Wang, Jianping Wang, Liu Q, Jin Zhang
Read original paper ↗ ·Prediction of flexural strength of carbon fiber reinforced polymers based on literature mining
Journal of Materials Research and Technology · 2026-06-02
Rui Zhang, Yinkang Zhao, Y X Zhang, Qiaochuan Chen, Yuexing Han, Na Song, Peng Ding, Cailian Zhu
Read original paper ↗ ·Solder Alloys Data Mining for Materials Research
Physics of Particles and Nuclei · 2026-07-20
M. O. Khvostova, A. V. Abramov, A. A. Artamonov
Read original paper ↗ ·Data-driven design of a seasonal cyclic corrosion test program for carbon steel based on atmospheric corrosion monitoring
Corrosion Science · 2026-07-22
Yiran Li, Lingwei Ma, Xu Yang, Xin Guo, Jinke Wang, Bowei Zhang, Haiyan Gong, Xuequn Cheng, X Q Li, Dawei Zhang
Read original paper ↗ ·A semantics-guided multimodal machine learning framework for predicting the flexural strength of C/C-SiC composites
Extreme Materials · 2026-08-12
Chiyu Wang, Yuhao Fang, Jingsheng Hu, Ao Chen, Jiahui Zhou, Zijie Xu, Wenzheng Zhang, Mingyi Tan, Xinghong Zhang
Read original paper ↗ ·Knowledge-guided descriptors for multi-property prediction and candidate screening of superalloys
Materials Today Communications · 2026-09-01
Weiren Wang, Xue Jiang, Yanjing Su
Read original paper ↗ ·Logical Structure Aware Multi-relation Extraction for Materials Scientific Literature
Lecture notes in computer science · 2026-09-25
Mingqian Li, 游进国, Xingrui Huang, Jialin Xu, Chuhan Zhang, TAO Jingmei, Caiju Li, Jianhong Yi
Read original paper ↗ ·