Machine Learning Lets Researchers See Beyond the Spectrum

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Researchers at the Institute of Industrial Science, The University of Tokyo, used a machine-learning method to improve interpretations of experimental data for understanding the electronic structure of organic molecules. By training an artificial deep neural network with simulated data, they were able to predict the density of electronic states from core-loss spectroscopy data, which may improve chemical engineering.

2023.05.19

Press Release

Machine Learning Lets Researchers See Beyond the Spectrum

Researchers at #UTokyo_IIS, use artificial intelligence to help interpret data generated by material science spectroscopy experiments, which can aid in the development of new drugs and organic conductors.

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