AutoTRIZ integrates Large Language Models with the Theory of Inventive Problem Solving (TRIZ) to overcome traditional limitations in engineering innovation processes.

• Creates an artificial ideation system that reduces reliance on human expertise and experience
• Simplifies complex TRIZ methodology making it more accessible for practical applications
• Demonstrates real-world effectiveness through Battery Thermal Management System design
• Bridges the gap between AI capabilities and structured engineering innovation

This research matters for engineering by democratizing innovation tools, reducing barriers to entry for TRIZ methodology, and providing a scalable approach to technical problem-solving that leverages the reasoning capabilities of large language models.

AutoTRIZ: Automating Engineering Innovation with TRIZ and Large Language Models