Researchers at the University of Maryland have developed a model using machine learning and robotics to accelerate the design of materials for wearable technology. This method focuses on creating aerogel materials with programmable mechanical and electrical properties, improving the design process’s speed and efficiency. By integrating robotics and AI, the team produced strong, flexible aerogels from titanium nanosheets, cellulose, and gelatin. This innovation could also be applied to green technologies, such as oil spill cleanup and energy storage.
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