AI learned to select materials for research

The researchers explained that they are always on the lookout for materials with very specific properties.

for your projects.But usually there are too many options and they cannot constantly experiment to understand which material suits them. In addition, this extends the duration of the research several times.

Therefore, scientists have created an algorithm usingartificial intelligence (AI) that automatically finds material for any project. A team of researchers from Carnegie Mellon University and the University of Calgary have refined the algorithm, allowing them to quickly and accurately find materials with the desired properties.

“Since the amount of materials is soit is large, very difficult to experimentally and computationally study the properties of materials. Therefore, we have created algorithms that can quickly predict their properties. "

researchers from Carnegie Mellon University

Since the algorithm can predict propertiesa wide range of materials, it can be used not only in research. For example, an algorithm can find a material with thermal properties suitable for solar panels. In addition, he can identify the materials that are needed to make drugs. To use the algorithm, a researcher can simply enter a query and find the property he is looking for.

“You can use this algorithm andtrain the deep learning model - so much so that it shows the desired option in a few seconds. In this way, it will predict the properties of various materials with high accuracy and will be applied in many areas. "

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