[2603.01654] CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development

[2603.01654] CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development

arXiv - AI 3 min read

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Abstract page for arXiv paper 2603.01654: CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development

Computer Science > Artificial Intelligence arXiv:2603.01654 (cs) [Submitted on 2 Mar 2026] Title:CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development Authors:Yuhang Yang, Ruikang Li, Jifei Ma, Kai Zhang, Qi Liu, Jianyu Han, Yonggan Bu, Jibin Zhou, Defu Lian, Xin Li, Enhong Chen View a PDF of the paper titled CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development, by Yuhang Yang and 10 other authors View PDF HTML (experimental) Abstract:The development of chemical processes, a cornerstone of chemical engineering, presents formidable challenges due to its multi-faceted nature, integrating specialized knowledge, conceptual design, and parametric simulation. Capitalizing on this, we propose CeProAgents, a hierarchical multi-agent system designed to automate the development of chemical process through collaborative division of labor. Our architecture comprises three specialized agent cohorts focused on knowledge, concept, and parameter respectively. To effectively adapt to the inherent complexity of chemical tasks, each cohort employs a novel hybrid architecture that integrates dynamic agent chatgroups with structured agentic workflows. To rigorously evaluate the system, we establish CeProBench, a multi-dimensional benchmark structured around three core pillars of chemical engineering. We design six distinct types of tasks across these dimensions to holistically assess the comprehensive capabilities of the system in ...

Originally published on March 03, 2026. Curated by AI News.

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