From discovery to design to launch, coatings R&D is becoming increasingly data-driven. This session will walk through how AI can add value at every step of the formulation process.
At the start of a new project, AI discovery tools help formulators search institutional knowledge with natural language, immediately surfacing relevant past work. In the lab, AI-guided design of experiments helps plan the most efficient path through a new design space, while inverse design models suggest formulation candidates most likely to hit target properties. Beyond R&D, AI can be deployed externally, turning a manufacturer's product portfolio into a 24/7 technical sales channel for customers.
Together, these capabilities show how AI compounds value across the full arc of innovation, from the first experiment to the final product.
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