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Polymerize
Growth Summit 2026: How Polymerize Is Enabling Practical AI Adoption in Materials R&D
On February 5th, Polymerize held Growth Summit 2026 at the Korea Science and Technology Center in Seoul, bringing together 200 leaders from materials and chemical companies, research institutions, and academia to discuss how artificial intelligence can be practically applied to materials R&D.
Hu Heyin
Marketing Manager
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Polymerize
System of Intelligence for Polymer Development: Accelerating Innovation in 2026
February 12, 2026
In 2026, polymer R&D is entering a new phase. The era of manual iteration is ending. A
System of Intelligence (SoI),
powered by polymer AI, data-driven learning, and embedded scientific workflows, is redefining how polymers are designed, optimized, and scaled.
Read More
Hu Heyin
Marketing Manager
Data Management
Scientific Data Management for R&D Teams: Best Practices
February 12, 2026
Scientific data management is now a foundational capability for R&D-driven organizations, especially those investing in digital transformation, materials informatics, or AI-enabled research.
Read More
Hu Heyin
Marketing Manager
Polymerize
Growth Summit 2026: How Polymerize Is Enabling Practical AI Adoption in Materials R&D
February 11, 2026
On February 5th, Polymerize held Growth Summit 2026 at the Korea Science and Technology Center in Seoul, bringing together 200 leaders from materials and chemical companies, research institutions, and academia to discuss how artificial intelligence can be practically applied to materials R&D.
Read More
Hu Heyin
Marketing Manager
AI/ML
Polymerize vs. Traditional LIMS: What Materials Scientists Need to Know
January 29, 2026
As materials R&D becomes increasingly data-driven, traditional LIMS (Laboratory Information Management System) is not enough, but need a System of Intelligence like Polymerize to truly accelerate innovation
Read More
Hu Heyin
Marketing Manager
AI/ML
How to Choose a Materials Informatics Platform: Buyer’s Guide 2026
January 23, 2026
In 2026, the question is no longer whether materials informatics can help, but how to select the right
materials informatics platform
that can accelerate real-world decision-making without requiring perfect data.
Read More
Hu Heyin
Marketing Manager
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