A team of researchers in Canada has created ultrahigh-strength carbon nanolattices using machine learning. The material is as strong as carbon steel, but only as dense as Styrofoam, making it a potentially game-changing breakthrough in nanomaterials. The team used a machine learning algorithm to predict the best lattice geometries for enhancing stress distribution and improving the strength-to-weight ratio. They then used a two-photon polymerization 3D printer to create a precise nanoscale prototype. The resulting nanolattice withstood five times the amount of stress that titanium can, making it suitable for aerospace applications, such as replacing titanium components on planes. The potential fuel savings are estimated to be 80 liters per year for every kilogram of material replaced. The team plans to continue developing even stronger and less dense materials, as well as finding cost-effective ways to manufacture components with these designs.
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