3 papers
cs.AI2026
Library Reachability in LSR-Synth: How Anti-Memorization Design Changes the Measurement of Symbolic Discovery
Zhan'ao Yao, Liang Yin, Zhihao Gao +9
Existing benchmarks for scientific equation discovery are largely composed of well-known equations available in the public domain, making it difficult to determine whether a model…
cond-mat.mtrl-sci2026
MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science
Zhan'ao Yao, Boxuan Zhang, Jingyuan Shu +10
Progress in AI-driven crystal materials science has so far been carried by narrow architectures purpose-built for individual tasks -- graph neural networks for property prediction,…
cond-mat.mtrl-sci2025
S1-MatAgent: A planner driven multi-agent system for material discovery
Xinrui Wang, Chengbo Li, Boxuan Zhang +5
The discovery of high-performance materials is crucial for technological advancement. Inverse design using multi-agent systems (MAS) shows great potential for new material discover…