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[White Paper Available] Data Strategy and Its Implementation for MI Utilization
How can we overcome the barriers to utilizing MI that are often encountered on-site?
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Material Development Support Service "Polymerize One"
Consistently carry out data generation, AI model construction, and validation experiments! It is possible to shorten the lead time for efficient material development and market introduction.
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Integrated Materials Informatics Platform
By leveraging the formulations and material properties simulated by AI, we achieve a reduction in overall research and development costs and a shortening of time-to-market lead times.
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Data management and AI engine research and development at Polymerize Labs.
Polymerize Labs has achieved a reduction of the formulation development period to one-third and has cut research and development costs by over 40%.
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Reduce man-hours by 50% compared to the trial-and-error development process.
A must-see for companies that want to develop new products while minimizing setbacks through a trial-and-error development process!
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Case study on the efficiency improvement of the high-performance elastomer seal development process using AI predictions.
To maximize the performance of the elastomer seal at high temperatures, I want to minimize the compression set while maintaining elongation at the breaking point.
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Polymerize Labs
Revolutionize material development with AI! Integrated Materials Informatics Platform.
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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!
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We are currently offering a case study on the efficiency improvement of the product development process using AI predictions!
Introducing a case study of successful efficiency and shortening in the development of high-performance elastomer seals using AI predictions, with a focus on minimizing the processes necessary to achieve development goals.
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Three reasons why data management is important in a chemical company.
Here are three reasons that emphasize the importance of data management in the chemical industry!
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Introduction of product development examples utilizing AI [Polymerize case study]
Introducing a case where we successfully streamlined and shortened the development of high-performance elastomer seals using AI predictions! Minimizing the processes necessary to achieve development goals!
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Platform "Polymerize Labs"
We will bring innovation to the chemical and materials industries with an approach utilizing our proprietary AI technology.
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