Artificial Intelligence Develops New Super-Compressible Material with No Experiment

artificial intelligence develops new super compressible material

Artificial Intelligence brings out new material in much less time

A team of materials scientists at TU Delft University in the Netherlands has developed a new type of compressible material using Artificial Intelligence. 

  • They have discovered this material without any experimental test.
  • The Artificial Intelligence-based methodology made the discovery process very fast.

They were looking for a super-compressible material having the potential to even put your bike into your pocket.

Obviously, getting to find or develop such a material is very research-intensive and extremely time-consuming. The traditional way of finding such a material would be using trial and error methods in the lab that would require the entire test setup.

Here the intervention of artificial intelligence can revert the process and make it faster than the traditional one.

The researchers did a simulation of material on pc and let the artificial intelligence learn how the material was behaving and what was changing. 

According to the scientists, such a process gave them a kind of ‘treasure map’; conditions under which the material would perform and yield.

Image Credit: Popular Mechanics

Using such a process, the scientists were able to convert a brittle material into a meta-material that was super-compressible.

Using the traditional techniques, even with simulations on computer software, you get many designs that perform and do not perform. But putting all this data to translate into a design of choice is very difficult and time-consuming with just a human effort. 

AI can easily learn this entire data and create a map out of it which scientists can follow to quickly realize what is needed.

Using this process, scientists could manufacture the prototype at the macro scale and then miniaturized the design to the nanoscale to get the super compressible material.

The good news is that the scientists have shared the code so as to make it available to the public to use and improve.

It can be accessed using the link here

You can access the full article here.

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