Hybrid-AI-sep is an innovative, Multi-Agent Artificial Intelligence augmented computer-aided tool. It is specifically designed to solve complex separation process problems and serve as a powerful educational platform for chemical engineering.
The system integrates engineering knowledge, curated thermodynamic databases, and computational modeling tools within a workflow-based reasoning framework to support both industrial decision-making and education.

• Knowledge-Based Engineering Support: Ontology-based knowledge support covering separation principles, design heuristics, and integrated engineering explanations.
• Thermodynamic & Separation Database: Curated thermodynamic and separation databases including pure component properties, azeotropic systems, solvent data, and environmental information.
• Structured Engineering Workflow: Structured workflow-based engineering reasoning framework “Feasibility ↔ Verification ↔ Design“
• Computational Tool Integration: Integrated computational tools for equilibrium calculations, solvent screening, reverse design methods, and established property models (NRTL, UNIFAC, PC-SAFT, etc.)
• Educational Module: Providing transparent, step-by-step decision support for both engineering and education.
• Local Deployment: Local deployment on standard laptops (≥8GB RAM) with no GPU requirement.

Hybrid AI-sep Interface

Work-flow

Example of an agent-based framework
Want to see more information about Hybrid AI-sep? Please visit our YouTube Channel for demonstration!
Interested in our software? Please contact us for more information.