Modern polymer materials face a fundamental challenge: they must remain strong and durable during use, yet ideally degrade ...
In a recent webinar organized by the National Academy of Engineering in connection with its forthcoming Fall ...
Machine learning (ML) has emerged as a transformative tool in polymer science, enabling researchers to predict material properties and guide polymer design with unprecedented speed and precision.
Polymer chemistry is transforming industries, from sustainable materials to biomedicine. Over his decades as a professor of materials, chemistry and biochemistry at UC Santa Barbara, Craig Hawker’s ...
The words on this page mean something because they are assembled in a particular order and follow the complex rules of ...
These 'polymer alloy' composition changes have enabled the creation of materials with optimized toughness, processability, chemical resistance, and cost structures. Polymer blends and polymer alloys ...
The Polymer Science doctoral program is designed to provide students with a background in advanced course work and laboratory techniques that will prepare them to carry out an original investigation ...
Each semester the student is required to attend and participate in the chemistry seminar/colloquium program CHEM.6010, 6020, 6030 and 6040. In addition, a master's candidate is required to present one ...
The 32nd biennial meeting of the Polymer Physics Group, PAPS 2026, will be held in Nottingham in September 2026. This event provides an opportunity for researchers from both academia and industry to ...
Morning Overview on MSN
Generative AI designs new polymer dielectric that passes lab tests
A research team at Georgia Tech has built what it calls the first generative AI system purpose-built for polymer design, and ...
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