What is Materials Informatics (MI)? *Material development with AI
We will introduce a case study of successfully streamlining and shortening the development of high-performance elastomer seals using AI predictions. *Case study materials are currently available for download from the catalog!
Materials Informatics is a data-driven approach that uses various informatics techniques, such as statistical analysis, experimental design, computational science, and artificial intelligence, to accelerate innovation and product development processes. The materials industry requires digitization not only to manage previous experimental data but also to use past datasets for feature extraction, understand the key factors that influence the results in developing new materials, predict functional properties, and optimize compositions. Customers utilizing our cloud-based Materials Informatics platform, "Polymerize Labs," have achieved a reduction in new product development time by one-third and a 40% decrease in development costs. **Features of Polymerize Labs** - Project management - Analysis of past experimental data - Data management - Experimental design - Result prediction using AI engines *For more details, please download the PDF (case study) or feel free to contact us.*
- 企業：POLYMERIZE ポリマライズ日本法人
- 価格：Other
