3 papers
cond-mat.mtrl-sci2026
Hierarchical Multi-Agent Reasoning Systems for Knowledge-Grounded Material Substitution
Tarjei Paule Hage, Subhadeep Pal, Wei Lu +4
AI-assisted scientific discovery increasingly seeks to move beyond generating plausible ideas toward reproducible, constraint-aware workflows that can support practical engineering…
cs.AI2026
GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design
Isabella A. Stewart, Tarjei Paule Hage, Yu-Chuan Hsu +1
Large Language Models (LLMs) promise to accelerate discovery by reasoning across the expanding scientific landscape. Yet, the challenge is no longer access to information but conne…
cs.AI2026
Higher-Order Knowledge Representations for Agentic Scientific Reasoning
Isabella A. Stewart, Markus J. Buehler
Scientific inquiry requires systems-level reasoning that integrates heterogeneous experimental data, cross-domain knowledge, and mechanistic evidence into coherent explanations. Wh…