Materials Informatics (MI) involves the use of data-centric approaches for materials science R&D. As we approach the end of 2021, this digital transformation continues to accelerate at pace throughout the chemical and materials sector.
Primarily, MI is based on using data infrastructures and leveraging machine learning solutions for the design of new materials, discovery of materials for a given application, or optimisation of how materials are processed. This is not straight-forward and is still at a nascent stage, but there is no doubt that this will be ubiquitous across R&D; adopting a strategy now is essential to embracing this change and the early-adopters are set to develop a key competitive edge.
In this webinar, IDTechEx Research Director (North America) Dr Richard Collins
will give a comprehensive overview of this field. This is based on extensive primary interviews across the industry and draws on information from their leading technical report on this topic - "Materials Informatics 2022-2032
This webinar will provide:
- The latest commercial developments in the field
- Assessment of the different strategic approaches being adopted
- The key technology pillars required for a MI approach
- Industry pain points
- Application case studies