3 papers
cs.AI2026
Grounding Large Language Models in Reaction Knowledge Graphs for Synthesis Retrieval
Olga Bunkova, Lorenzo Di Fruscia, Sophia Rupprecht +3
Large Language Models (LLMs) can aid synthesis planning in chemistry, but standard prompting methods often yield hallucinated or outdated suggestions. We study LLM interactions wit…
cs.MA2025
Multi-agent systems for chemical engineering: A review and perspective
Sophia Rupprecht, Qinghe Gao, Tanuj Karia +1
Large language model (LLM)-based multi-agent systems (MASs) are a recent but rapidly evolving technology with the potential to transform chemical engineering by decomposing complex…
cs.PL2025
Text2Model: Generating dynamic chemical reactor models using large language models (LLMs)
Sophia Rupprecht, Yassine Hounat, Monisha Kumar +2
As large language models have shown remarkable capabilities in conversing via natural language, the question arises as to how LLMs could potentially assist chemical engineers in re…