AI in materials engineering accelerates discovering and optimizing materials by analyzing large datasets and predicting properties. Key steps include gathering and cleaning data, selecting relevant features, and training AI models.
Custom-Refraction: Tunable Polymer Blend Microparticles
Introducing a groundbreaking advancement in materials science: Our research team has developed a sophisticated method for fabricating homogeneous polymer blend microparticles. This innovative technique, capable of processing even non-miscible polymers, significantly broadens the application scope for engineered materials.
Pglass & PET Crystallization Breakthrough
Discover how Pglass transforms PET polymers, making them more adaptable for high-tech applications. By integrating ultra-low Tg phosphate glass, we unlock enhanced thermal stability and faster crystallization, revolutionizing materials for aerospace, automotive, and beyond.
Hybridize Materials to Maximize Profit and Performance
The plastics industry expects a lot from advanced materials, but the relatively few that are commercially available cannot satisfy all applications and expectations. In this context, nanostructured hybrid organic-inorganic glass thermoplastic materials potentially demonstrate all the benefits of traditional filled plastic composites and avoid their disadvantages (Fig. 1). Current attributes of the materials should translate into improved energy efficiency and consequent cost savings, making the materials and production method widely applicable.