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…
cond-mat.mtrl-sci2022
DyFraNet: Forecasting and Backcasting Dynamic Fracture Mechanics in Space and Time Using a 2D-to-3D Deep Neural Network
Yu-Chuan Hsu, Markus J. Buehler
The dynamics of materials failure is one of the most critical phenomena in a range of scientific and engineering fields, from healthcare to structural materials to transportation.…