In the realm of materials science, there is a plethora of datasets and tools at our disposal—the issue is how to effectively ...

A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with molecular simulations. As a proof of concept, the group successfully synthesized ...

The role of entanglements can determine the mechanical properties of glass polymer blends. In a new report now published on Science Advances, Cynthia Bukowski and a research team in polymer science ...

The PoLARIS Project aims to combine robots and AI with science to help automate experiments. One project leader answers how ...

Scientists seeking new materials derived from polymers often save time and money by blending existing polymers rather than starting from scratch. However, identifying the best blend presents ...

National Science Foundation has awarded $20 million to COAST PCL to combine robotics, AI and advanced instruments, allowing researchers to conduct experiments anywhere Scientists searching for a ...

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Osaka, Japan - Osaka University researchers employed machine learning to design new polymers for use in photovoltaic devices. After virtually screening over 200,000 candidate materials, they ...

Scientists searching for a stronger composite material, a more durable medical polymer, or a heat-responsive soft material may soon be able to test hundreds of possibilities at UC Santa Barbara ...