Machine learning makes material research faster

Image I

Machine learning makes material research faster

One version of the modern nanotechnical material is the material that is formed by using opposite waves-looking molecular layers. The idea is that when the material has pushed the waves or prism-looking structures are pressing to each other. That thing would make the material tougher than it should. The most modern extremely hard materials are existing only if the electricity is conducted to them. That keeps the molecules in the form and without the electricity, the molecular structure will vanish.

Machine learning means that when the computer finds some solution, it will store them in its memory. So how superhard materials are created by using artificial intelligence. Artificial intelligence can use in by using the methodology, where artificial intelligence searches the similarities in the molecular structures in the hardest known materials. The strongest known natural material is diamond, and the thing, that makes that structure so strong is well known. The carbon takes connections in molecules by using four electrons.

That means that the other carbon group elements like lead and another group of six elements can form the diamond or the crystal structure, which is similar to diamond. The crystalline leaf or silicone is the same way hard as a diamond. This thing requires that the molecular structure of the material is similar to diamond. But modern technology can make things, which are like from some science fiction novel.

In most modern material research, the main role is the things, which are called supermolecules. In that case, the system benefits double, triple, or more bond connections. That would make molecules, that are touching each other like carbon or carbonic group elements. But in those cases that the pure carbon wanted to replace by using the hybrid material where the two or more elements are making the material, what structure is like a diamond the requirements of energy and other things like pressure are more accurate than in some steelworks.

If the energy level is too high, the structure would just be something else than it should be. The molecules can turn too flat, which denies their ability to react to changes in pressure. And if the energy level in the creation process is too low, the structure will turn unstable. What makes it vanish.

https://scitechdaily.com/machine-learning-boosts-the-search-for-new-superhard-materials/

Image I: https://en.wikipedia.org/wiki/Allotropes_of_carbon

https://curiosityanddarkmatter.home.blog/2020/12/27/machine-learning-makes-material-research-faster/

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