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Yuta Suzuki
Yuta Suzuki
TOYOTA Motor Corporation
Verified email at mail.toyota.co.jp - Homepage
Title
Cited by
Cited by
Year
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach
Y Suzuki, H Hino, T Hawai, K Saito, M Kotsugi, K Ono
Scientific reports 10 (1), 21790, 2020
872020
Automated crystal structure analysis based on blackbox optimisation
Y Ozaki, Y Suzuki, T Hawai, K Saito, M Onishi, K Ono
npj Computational Materials 6 (1), 75, 2020
402020
Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures
Y Suzuki, H Hino, M Kotsugi, K Ono
Npj Computational Materials 5 (1), 39, 2019
402019
Fabrication of L10-FeNi by pulsed-laser deposition
M Saito, H Ito, Y Suzuki, M Mizuguchi, T Koganezawa, T Miyamachi, ...
Applied Physics Letters 114 (7), 072404, 2019
182019
Self-supervised learning of materials concepts from crystal structures via deep neural networks
Y Suzuki, T Taniai, K Saito, Y Ushiku, K Ono
Machine Learning: Science and Technology 3 (4), 045034, 2022
102022
Automated Data Analysis for Powder X-Ray Diffraction Using Machine Learning
Y Suzuki
Synchrotron Radiation News 35 (4), 9-15, 2022
92022
Femtosecond resonant magneto-optical Kerr effect measurement on an ultrathin magnetic film in a soft X-ray free electron laser
S Yamamoto, Y Kubota, K Yamamoto, Y Takahashi, K Maruyama, ...
Japanese Journal of Applied Physics 57 (9S2), 09TD02, 2018
82018
Machine Learning-based Crystal Structure Prediction for X-Ray Microdiffraction
Y Suzuki, H Hino, Y Takeichi, T Hawai, M Kotsugi, K Ono
Microscopy and Microanalysis 24 (S2), 142-143, 2018
82018
Robotic Powder Grinding with a Soft Jig for Laboratory Automation in Material Science
Y Nakajima, M Hamaya, Y Suzuki, T Hawai, F von Drigalski, K Tanaka, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
62022
Visualization of Topological Defect in Labyrinth Magnetic Domain by Using Persistent Homology
T YAMADA, Y SUZUKI, C MITSUMATA, K ONO, T UENO, I OBAYASHI, ...
表面と真空 62 (3), 153-160, 2019
62019
Extraction of physical parameters from X-ray spectromicroscopy data using machine learning
Y Suzuki, H Hino, T Ueno, Y Takeichi, M Kotsugi, K Ono
Microscopy and Microanalysis 24 (S2), 478-479, 2018
62018
Neural structure fields with application to crystal structure autoencoders
N Chiba, Y Suzuki, T Taniai, R Igarashi, Y Ushiku, K Saito, K Ono
Communications Materials 4 (1), 106, 2023
22023
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
T Taniai, R Igarashi, Y Suzuki, N Chiba, K Saito, Y Ushiku, K Ono
The Twelfth International Conference on Learning Representations, 2023
22023
Automation of X-ray absorption spectrum analysis using machine learning
Y Suzuki, H Hino, K Ono
Denki Kagaku (Online) 88 (1), 36-41, 2020
2020
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