Harness Engineered LLM Agents for Material Science: A Case Study on Perovskite Materials with Machine Learning and Materials Project
The integration of large-language-model (LLM) agents into materials science requires a balance between adaptive reasoning and reliable scientific execution. Here, we present a Harness framework that converts agent proposals into structured and validated actions, connects them to the Materials Project and deterministic...