The Potential : Thousands New Materials Nearly 400,000
The Potential for Thousands of New Materials Is Shown by Google DeepMind AI
With the use of artificial intelligence (AI), Google DeepMind has been able to anticipate the structure of over two million new materials.
The company claims that this discovery could soon be applied to enhance real-world technologies.
In a study that was published on Wednesday in the scientific journal Nature, the AI company owned by Alphabet stated that nearly 400,000 of its speculative material designs might soon be generated in a lab setting.
The findings may have implications for the development of computer processors, solar panels, and batteries with improved performance.
Finding and creating new materials can be an expensive and time-consuming procedure.
For instance, it required over 20 years of development before lithium-ion batteries, which are now used to power everything from electric cars to computers and phones, were released for sale.
Ekin Dogus Cubuk, a research scientist at DeepMind, stated, “We’re hoping that big improvements in experimentation, autonomous synthesis, and machine learning models will shorten that 10 to 20-year timeline to something that’s much more manageable.”
The Materials Project is an international research organization that was established at Lawrence Berkeley National Laboratory in 2011.
The Potential : Thousands New Materials Nearly 400,000
Its database, which consists of research on about 50,000 known materials, was used to train DeepMind’s artificial intelligence.
The business announced that it would now make its data available to the scientific community in an effort to hasten the discovery of new materials.
“Industry tends to be a little risk-averse when it comes to cost increases, and new materials typically take a bit of time before they become cost-effective,” stated Kristin Persson, director.
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