Scientific AI: From Lab to Manufacturing

The chemical and materials industries face growing pressure to innovate faster, develop sustainable products, and navigate complex regulatory demands. Traditional trial-and-error approaches can be slow, costly, and disconnected from R&D data, making it difficult to move from discovery to production.

A new generation of Scientific AI, predictive modeling, connected data, and GPU-accelerated simulation is transforming how scientists innovate. This technology helps analyze complex data, predict outcomes, explore larger design spaces, and make informed decisions earlier.

These on-demand webinars explore this transformation:

• From Molecules to Manufacturing shows how a Virtual + Real approach and GPU-accelerated simulation can connect molecular design, simulation, and manufacturing while extending digital continuity through production.
• Accelerating Chemical Formulation and Lab Workflows with Scientific AI explores how connected lab environments and data-driven workflows can break down silos, accelerate formulation development, and improve collaboration across R&D teams.
• Accelerating Chemical R&D with Unified Labs and AI explores the practical steps R&D leaders are taking to modernize their labs, turn data into a strategic asset and reduce reliance on physical testing.

Together, these webinars show how Scientific AI, simulation, connected data, and Virtual Twins can connect discovery, development, and manufacturing into one intelligent continuum, helping organizations innovate faster and make more confident decisions.