Skill-Contracted Agents for Evidence-Aware Materials Literature Analysis

Researchers have developed a framework that uses AI agents to process complex materials science literature, which often requires reconciling diverse data points like chemical composition and processing techniques. This system addresses the limitations of standard retrieval-augmented generation by employing specialized, contract-based agents to perform multi-step analyses that previously challenged automated tools.