Recent AI systems can autonomously execute scientific workflows and empirical software tasks. We investigate whether an autonomous agent can use evaluation feedback to iteratively develop a scientific model. To address this question, we developed AutoResearch-MLIP, a research protocol in which the agent follows prede...
Mu-Yu Lu, Dan-Yang Chen, Fan Yu et al.· Precision Chemistry· 0 citations
Designing second-sphere microenvironments that promote proton-coupled electron transfer is central to catalysis yet difficult to achieve in porous solids, such as metal–organic frameworks (MOFs). Here, we report an end-to-end workflow that couples literature-guided large-language-model (LLM) reasoning with real-time...
Yi-Ming Zhao, Tao Song, Lin-Jiang Chen et al.· Journal of the American Chem...· 0 citations
This work compares role specifications in which the language model acts as equation author, candidate decider or search controller, alongside end-to-end language-model and purely numerical baselines and suggests that language models should shape hypothesis exploration rather than decide which equations survive.
Zikai Xie, Wenmei Li, Man Luo et al.· 1 citation
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