Deepmind AI can understand the unusual atomic structure of glass

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Deepmind AI can understand the unusual atomic structure of glass
Deepmind AI can understand the unusual atomic structure of glass

Deepmind AI can understand the unusual atomic structure of glass

In today’s blog, I am going to talk about Deepmind AI can understand the unusual atomic structure of glass. An artificial intelligence that can predict how a piece of glass responds to heat and pressure could one day also be used to model traffic flow.

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Humans have been making glass for approximately 4,000 years. Over those many years, improvements to the process have resulted in the development of many types of glass, but the basic process remains the same. Sand and other silica components are heated to a very high temperature at which they melt, and the resulting material is then rapidly cooled past its crystallization point. The end result of the process is a material that is hard, brittle and allows light to pass through easily. Deepmind AI can understand the unusual atomic structure of glass.

An artificial intelligence that can predict how a piece of glass responds to heat and pressure could one day also be used to model traffic flow. While most solid materials have a regular atomic structure, the atoms in glass have a more irregular arrangement, resembling a liquid that has been frozen in place. Physicists have long wanted to know more about this “glass transition”.


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The molecular structure of glass has no structure at all under a microscope, the molecules appear to be assembled randomly. To gain some insight into the glass transition process, the researchers used graph neural networking, in which AI is used to develop systems that can work with graphs, nodes and edges to make predictions about dynamic systems. To use such a system with glass, the team had to convert particles and interactions between them to nodes and edges.

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Particles were represented as connecting to nearby particles. The team also had to use an encoder to translate the particles and interactions to mathematical objects that could be recognized by the AI system. Once the AI system received the data, it was processed in a way that produced predictions of particle movement.Given that glasses are everywhere from windows to your phone screen its odd that we don’t really understand its structure and dynamism. If you like this blog Deepmind AI can understand the unusual atomic structure of glass visit HawksCode and Easyshiksha.

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