AI RESEARCH
Agentic Fusion of Large Atomic and Language Models to Accelerate Materials Discovery
arXiv CS.LG
•
ArXi:2604.23758v1 Announce Type: new The discovery of novel materials is critical for global energy and quantum technology transitions. While deep learning has fundamentally reshaped this landscape, existing predictive or generative models typically operate in isolation, lacking the autonomous orchestration required to execute the full discovery process. Here we present ElementsClaw, an agentic framework for materials discovery that synergizes Large Atomic Models (LAMs) with Large Language Models (LLMs.