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.
from News on Artificial Intelligence and Machine Learning https://ift.tt/3FZt5VF
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News on Artificial Intelligence and Machine Learning
AI predicts extensive material properties to break down a previously insurmountable wall
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