Session Details

[O16]AI & Machine Learning II

Thu. Jul 31, 2025 3:05 PM - 4:10 PM JST
Thu. Jul 31, 2025 6:05 AM - 7:10 AM UTC
Convention Hall(300, 3F)

[O16-1]Enhancing Research and Development Efficiency through Decision-Making Based on Experimental Data Feature Extraction

*Masao Yano1, Kazuho Saeki1, Kazuto Ide1, Toshihiro Nakae1, Tetsuya Shoji1 (1. Toyota Motor Corporation (Japan))

[O16-2]Accelerated development of thermally stable Nd-Fe-B magnets with light rare-earth elements and their synergetic effects to temperature stability with Co

Xinyi Ji1, *Lanting Zhang1, Hong Zhu1, Zhaozhe Zhong2, Jian Liu2, Zhanji Dong3, Zhongjie Peng3, Kaihong Ding3 (1. Shanghai Jiao Tong University (China), 2. Toyota Motor Technical Research and Service (Shanghai) Co., Ltd (China), 3. Yantai Dongxing Magnetic Materials Inc (China))

[O16-3]Graph Neural Networks to Predict Coercivity of Hard Magnetic Microstructures

*Heisam Adam Moustafa1, Qais Ali2, Leonie Breth1, Alexander Kovacs1, Thomas Schrefl1,2, Lukas Fink3, William Rigaut3, Pierre Le-Berre3, Thibaut Devillers3, Nora M. Dempsey3, Harald Oezelt1 (1. Department for Integrated Sensor Systems, University for Continuing Education Krems (Austria), 2. Christian Doppler Laboratory for magnet design through physics informed machine learning (Austria), 3. Université Grenoble Alpes, CNRS, Grenoble INP, Institut Néel (France))

[O16-4]Optimization of a Permanent Magnet with Uncertainty Control

*Clemens Wager1, Thomas Schrefl1,2, Alexander Kovacs2, Harald Özelt2, Claas Fillies2, Qais Ali1, Felix Lasthofer2, Masao Yano3, Noritsugu Sakuma3, Akihito Kinoshita3, Tetsuya Shoji3, Akira Kato3, Hayate Yamano3 (1. Christian Doppler Laboratory for magnet design through physics informed machine learning (Austria), 2. Department of Integrated Sensor Systems, University for Continuing Education Krems, Wiener Neustadt, Austria (Austria), 3. Advanced Materials Engineering Division, Toyota Motor Corporation, Susono, Japan (Japan))