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.*
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【Main Achievements】 ■Reduced man-hours by 50% compared to the trial-and-error development process ■Discovered insights on suitable material combinations and formulations that can be utilized for future product development ■Significantly improved functionality of the final product *For more details, please refer to the PDF document or feel free to contact us.
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Cloud-based materials informatics platform "Polymerize"
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For more details, please refer to the PDF document or feel free to contact us.
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Our company provides a materials informatics platform, PolymerizeLabs, and consulting services for the chemical and materials industries. PolymerizeLabs reflects the unique R&D processes and expertise specific to materials development, enabling seamless data management and AI utilization without the need for programming knowledge. It is the only all-in-one materials informatics platform in the industry that ensures AI prediction accuracy even with limited or sparse data. Based on a data management infrastructure specialized in organizing various materials development data and a highly flexible AI engine equipped with a diverse range of machine learning algorithms, we offer data-driven development processes across various materials fields. We contribute to addressing resource shortages, high cost structures, compliance with environmental regulations, alleviating supply chain bottlenecks, and responding quickly to market changes faced by all R&D departments, thereby enhancing corporate competitiveness and establishing a new standard for R&D processes in the AI era.