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.
"Polymerize One" is an all-in-one material development support service that combines three elements: the MI platform, prototype and testing outsourcing, and professional support. 【Do you have any of these concerns in new material development?】 ■ Lack of experimental data ■ Insufficient environment and capacity for in-house prototyping and testing ■ Wanting to advance development to a higher upstream level to achieve breakthroughs in product performance (for example, aiming for optimization at the synthesis level rather than just formulation), but lacking the equipment capabilities in-house. *For more details, please download the PDF or feel free to contact us.
basic information
【Service Application Image】 1: Conduct prototype and evaluation tests at partner research institutions to generate experimental data based on the use of MI. 2: Based on the data obtained above, use "Polymerize Labs" to analyze the data and build predictive models, identifying new principles and reverse-engineering experimental conditions that meet target characteristics. 3: Conduct experiments again at partner research institutions based on the conditions derived from the analysis, accumulating data on the platform and improving the model. 4: Final evaluation of materials that meet target characteristics by material manufacturers. 5: The principles derived from the accumulated data and AI models can be continuously utilized as assets for subsequent development. *For more details, please download the PDF or feel free to contact us.
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Model number/Brand name
All-in-One Material Development Support Service "Polymerize One"
Applications/Examples of results
Solving such challenges in materials development: ■ Insufficient data ■ Unable to obtain information from material suppliers ■ Lack of internal resources ■ Designing formulations in-house but lacking knowledge in synthesis ■ Performance limits in formulation optimization ■ Insufficient prototyping, testing, and analysis capabilities *For more details, please download the PDF or feel free to contact us.
