3 papers
cs.DB2026
Language-Native Materials Processing Design by Lightly Structured Text Database and Reasoning Large Language Model
Yuze Liu, Zhaoyuan Zhang, Xiangsheng Zeng +5
Materials synthesis procedures are predominantly documented as narrative text in papers, protocols, and laboratory records, placing them beyond the reach of conventional data-drive…
cs.AI2026
TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design
Juan Du, Yueteng Wu, Pan Zhao +4
The aerodynamic design of turbomachinery is a complex and tightly coupled multi-stage process involving geometry generation, performance prediction, optimization, and high-fidelity…
physics.chem-ph2024
Farthest Point Sampling in Property Designated Chemical Feature Space as a General Strategy for Enhancing the Machine Learning Model Performance for Small Scale Chemical Dataset
Yuze Liu, Xi Yu
Machine learning model development in chemistry and materials science often grapples with the challenge of small scale, unbalanced labelled datasets, a common limitation in scienti…