Conveners
Keynote: LLM and human-in-the-loop Bayesian optimization for chemical experiments
- Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)
Keynote: Establishing Multivariate Specification Regions for Incoming Raw Materials – a QbD approach
- Raffaele Vitale (Université de Lille)
Bayesian optimization has proven effective for optimizing expensive-to-evaluate functions in Chemical Engineering. However, valuable physical insights from domain experts are often overlooked. This article introduces a collaborative Bayesian optimization approach that integrates both human expertise and large language models (LLMs) into the data-driven decision-making process. By combining...
Establishing multivariate specification regions for selecting raw material lots entering a customer’s plant is crucial for ensuring smooth operations and consistently achieving final product quality targets. Moreover, these regions guide the selection of suppliers. By meeting these specifications, suppliers contribute to customer satisfaction, which can, in turn, enhance market share. Latent...