Machine learning and nano-3D printing produce highest strength-to-weight and stiffness-to-weight ratios of any material

https://www.eurekalert.org/news-releases/1071668

"sharp intersections/ corners cause stress concentrations/ early local failure/ breakage... multi-objective Bayesian optimization machine learning algorithm... 2-photon polymerization 3D printer optimized carbon nanolattices >2X strength, withstanding 2.03 MPa stress/ cubic mete per kg of its density, 5X> titanium... needed only 400 (not > 20k) data points... fuel savings of 80 liters per year for every kilogram of material you replace... low density/ high strength, stiffness... automotive, aerospace"