In the future, self-learning algorithms will be able to conduct full-fledged materials engineering experiments by analyzing data from previous experiments.
Artificial intelligence is gradually penetrating all areas of human knowledge. The AI innovation developed by a research group at California Institute of Technology provides for using the capabilities of machine learning in materials science. The algorithm created by them offers a new type of metamaterial with unique characteristics: it is the most robust, but at the same time the most flexible and compressible material in the world.
There are a lot of laboratories around the world that are currently engaged in the development of materials with increased strength and mechanical adaptability. Artificial intelligence enables them to analyze all the experiments conducted earlier, and create a mathematical model of new materials that would have optimal proportions of certain components and the desired properties.
Double computer processing of data helped the researchers to create a light-weight super-compressible composition with high durability and adaptivity out of brittle polymers. The authors of the research are promising to disclose the secret of the innovative material in the future, but they are keeping a lid on it so far.
Further development of the industrial version of the material will also be conducted using AI. One of the main tasks faced by the researchers, on top of creating a new type of material, is to teach the algorithm to conduct experiments on its own.
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