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Scientists at The University of Tokyo introduced a new method for inferring the energy of the excited states of electrons in materials using machine learning. By rapidly predicting these values, this work can help better understand material properties and develop new substances.

2020.06.03

Press Release

Get Excited by Neural Networks

Scientists at The University of Tokyo use machine learning to predict the excited electronic states of materials—research that can accelerate both the characterization of materials as well as the formulation of new useful compounds

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MIZOGUCHI Teruyasu Professor

Nano-Materials Design

Department of Materials and Environmental Science
Large-Scale Experiment and Advanced-Analysis Platform(LEAP)
Center for Research on Innovative Simulation Software (CISS)
Centre for Interdisciplinary Research on Micro-Nano Methods (CIRMM)

Materials Engineering : Graduate School of Engineering