Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices. Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam.

1 month ago 52
Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices. Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam. submitted by /u/TX908
[link] [comments]
Read Entire Article
  1. Homepage
  2. Science
  3. Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices. Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam.

Related

First study to pinpoint a single brain area capable of halting aggressive social behavior and encouraging pro-social actions. Reducing the activity of this brain area lessened aggressive behaviors in mice and encouraged more sociable interactions.

First study to pinpoint a single brain area capable of halti...

2 hours ago 2
Stepped labyrinth seals with optimized geometry reduce lubricant loss in space applications, and simulations closely match experimental data, improving reliability over traditional analytical models

Stepped labyrinth seals with optimized geometry reduce lubri...

4 hours ago 6
People in virtual reality evacuated buildings in a similar way to real life, making similar decisions and looking at the same signs, but they moved more slowly because of the way they had to control their movement.

People in virtual reality evacuated buildings in a similar w...

4 hours ago 5

Hidden in mobile, Best for skyscrapers.