Digital R&D Tools in the Applications for Materials and Liquid Formulations Development

In this talk, Professor Lapkin introduced an emerging framework for digital R&D tools, which is based on dynamic knowledge graphs and ontologies, and allows for easy integration of multiple workflows based on AI agents placed within the knowledge graph. This overall architecture is intended to support all R&D workflows in a fully digital lab. He then focused on several specific case studies that use elements of this framework for development of materials and formulation. The recently developed AMLearn platform, which connects multiple vendor devices in an MLdriven active learning development cycle, was described. This platform is now powering the flow materials synthesis technology. Alexei also discussed several challenges in developing formulations that are well suited for ML methods, presenting the recently developed HT workflow for liquid formulations and new algorithms that were developed in support of this workflow.

About Professor Alexei Lapkin

Alexei Lapkin is a distinguished academic in the field of chemical engineering, known for his work in sustainable reaction engineering. He earned his MChem from Novosibirsk State University and his PhD from the University of Bath. Lapkin held academic positions at the University of Bath and the University of Warwick before becoming a Professor of Sustainable Reaction Engineering at the University of Cambridge in 2013. His research focuses on developing sustainable chemical processes and technologies.

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