Author

Angel Yanguas-Gil

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Sep 2026

EAIRA: Establishing a methodology for evaluating LLMs as scientific research assistants

Recent advancements have positioned AI, and particularly Large Language Models (LLMs) as transformative tools for scientific research, capable of addressing complex tasks that require reasoning, problem-solving, and decision-making. Their exceptional capabilities suggest their potential as scientific research assistant...

Franck Cappello, Sandeep Madireddy, Robert Underwood et al. · The international journal of... · 0 citations

#artificial intelligence Review Aug 2026

Evaluating LLM-based AI agents integrated with materials synthesis tools: the case of atomic layer deposition

An overview of the different strategies that can be used to evaluate the performance of AI models and agents based on large language models (LLMs) for materials synthesis, with a specific emphasis on scenarios in which the models are directly integrated with experimental tools.

Angel Yanguas-Gil · 0 citations