AI predicts extensive material properties to break down a previously insurmountable wall

If the properties of materials can be reliably predicted, then the process of developing new products for a huge range of industries can be streamlined and accelerated. In a study published in Advanced Intelligent Systems, researchers from The University of Tokyo Institute of Industrial Science used core-loss spectroscopy to determine the properties of organic molecules using machine learning.

source https://techxplore.com/news/2021-10-ai-extensive-material-properties-previously.html