3 papers
cond-mat.mtrl-sci2025
Information fusion strategy integrating pre-trained language model and contrastive learning for materials knowledge mining
Yongqian Peng, Zhouran Zhang, Longhui Zhang +4
Machine learning has revolutionized materials design, yet predicting complex properties like alloy ductility remains challenging due to the influence of processing conditions and m…
cs.CL2025
Enhanced Multi-Tuple Extraction for Alloys: Integrating Pointer Networks and Augmented Attention
Mengzhe Hei, Zhouran Zhang, Qingbao Liu +6
Extracting high-quality structured information from scientific literature is crucial for advancing material design through data-driven methods. Despite the considerable research in…
physics.soc-ph2024
MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
Ziqi Ni, Yahao Li, Kaijia Hu +6
The rapid evolution of artificial intelligence, particularly large language models, presents unprecedented opportunities for materials science research. We proposed and developed a…