An interdisciplinary team from the UK is developing an AI-designed self-healing asphalt using biomass waste, demonstrating potential in saving millions in pothole repairs. Collaborating with Google Cloud, researchers are utilizing machine learning to model bitumen’s molecular behavior and reverse oxidation. The innovative material contains porous spores filled with recycled oils that activate when the asphalt begins to crack, effectively healing minor fractures within an hour. This advancement may significantly reduce maintenance costs for local councils, offering a sustainable solution to road repair challenges.
During the research, a type of AI known as machine learning was used to study organic molecules in complex fluids like bitumen.
In laboratory experiments, this advanced asphalt material was shown to completely heal a 'microcrack' on its surface in less than an hour.
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