The Impact of Digital Transformation on Materials R&D
Materials informatics (MI) today involves AI and machine learning and has the potential to transform materials development. An IDTechEx research report, “Materials Informatics 2023-2033,” covers the emerging field and includes case studies and analysis of the underlying technologies.
Key areas of coverage in the IDTechEx report, “Materials Informatics 2023-2033”. Source: IDTechEx
MI uses data infrastructures and leverages machine learning solutions to design new materials, discover materials for a given application, and optimize materials processing. Digital transformation in R&D is accelerating the adoption of MI processes by materials industry players.
The report answers such questions as:
- What are the strategic approaches to MI?
- How is the problem of sparse experimental datasets solved?
- How is MI applied across a diverse range of fields of materials science?
- Which algorithmic approach is appropriate?
- What were significant developments in the field of MI in the last year?
- How will MI and self-driving labs synergize to shape the future of materials R&D?
To learn more about IDTechEx’s technical and commercial analysis of the materials informatics industry, visit www.IDTechEx.com/MaterialInformatics.
