Optimize polyurethane development processes using AI & machine learning

For automotive manufacturers, polyurethane adhesives are crucial for ensuring vehicle performance and quality, yet harnessing their full potential is challenging.

In this white paper, you'll learn how artificial intelligence (AI) and machine learning provide new opportunities to screen raw materials while balancing performance and costs. Download the white paper to learn how your automotive manufacturing business can:

• Consolidate materials intelligence into a single source of digital truth that improves decision-making through the integration of Rapidminer® data analytics software and Simcenter™ Material Data Center software
• Leverage advanced machine learning models to drive innovation, bridge data gaps and optimize material selection
• Accelerate collaboration between materials engineers and data scientists within a dynamic shared environment
• Empower your researchers with predictive analytics that enable them to rapidly pinpoint promising raw materials and formulations
• Accelerate R&D efficiency while reducing development timelines and costs