El Agente S\'olido: A New Age(nt) for Solid State Simulations
Sai Govind Hari Kumar, Yunheng Zou, Andrew Wang, Jes\'us Vald\'es-Hern\'andez, Tsz Wai Ko, Nathan Yue, Olivia Leng, Hanyong Xu, Chris Crebolder, Al\'an Aspuru-Guzik, Varinia Bernales

TL;DR
El Agente Sólido is a hierarchical multi-agent system that automates solid-state quantum chemistry workflows, making complex materials simulations more accessible, flexible, and reproducible through natural language commands and integration of advanced computational methods.
Contribution
The paper introduces El Agente Sólido, a novel multi-agent framework that automates solid-state quantum chemistry workflows using natural language, enhancing flexibility and reproducibility in materials simulations.
Findings
Successfully automates a wide range of solid-state calculations.
Demonstrates reliable execution and benchmarking of workflows.
Shows potential to accelerate materials discovery processes.
Abstract
Quantum chemistry calculations are a key component of the materials discovery process. The results from first-principles explorations enable the prediction of material properties prior to experimental validation. Despite their impact, the practical use of first-principles methods remains limited by the expertise required to design, execute, and troubleshoot complex computational workflows. Even when workflows are successfully built, they are sometimes rigid and not adaptable to different use cases. Recent advances in large language models (LLMs) and agentic systems offer a pathway to flexibly automate these processes and lower barriers to entry. Here, we introduce El Agente S\'olido, a hierarchical multi-agent framework for automating solid-state quantum chemistry workflows using the open-source Quantum ESPRESSO simulation package. The framework translates high-level scientific…
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Taxonomy
TopicsMachine Learning in Materials Science · Inorganic Chemistry and Materials · Catalysis and Oxidation Reactions
