IVC-22

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Parallel Sessions

Data-driven materials science and process informatics

[Mon-I2] Data-driven materials science and process informatics

Mon. Sep 12, 2022 3:30 PM - 5:30 PM Room I (Meeting Room 201+202)

5:15 PM - 5:30 PM

[Mon-I2-7] Award Applied
Phonon and Point Defect Related Properties of GaN Studied using Neural Network Potential

*Koji Shimizu1, Emi Minamitani2, Satoshi Watanabe1 (1. The University of Tokyo (Japan), 2. Institute for Molecular Science (Japan))

Keywords:neural network potential, GaN, phonon, point defect

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