Use artificial intelligence & machine learning to accelerate polymer development

Materials scientists and teams developing polymers face immense pressure to innovate faster and reduce costs while meeting stringent performance and sustainability demands.

With the rapid emergence and availability of artificial intelligence (AI) and machine learning (ML), polymer developers can now quickly predict and optimize new material formulations. Download the white paper to learn how polymer developers can use the AI and ML capabilities of the Rapidminer® portfolio to:

• Gain predictive and prescriptive insights about polymers and novel materials, without needing a strong background in data science, coding and material science
• Incorporate AI and ML models to optimize and propose novel material formulations that better meet design criteria in much shorter timeframes than previously possible
• Reuse successful workflows in future projects to generate innovative new material candidates

Ready to accelerate the discovery of novel materials while addressing complex engineering requirements? Read the white paper to learn how.