Session Details
[18a-A21-1~11]23.1 Joint Session N "Informatics"
Wed. Sep 18, 2024 9:00 AM - 12:00 PM JST
Wed. Sep 18, 2024 12:00 AM - 3:00 AM UTC
Wed. Sep 18, 2024 12:00 AM - 3:00 AM UTC
A21 (TOKI MESSE 2F)
Kiyou Shibata(the University of Tokyo), Takuya Shibayama(Preferred Networks)
[18a-A21-1]Verification of Material Exploration Method Utilizing Quantum-Inspired Technologies
〇Kazuhiro Hashiguchi1, Akito Maruo1, Shinji Iwane1, Hideyuki Jippo1, Yoshinori Suga2 (1.Fujitsu Ltd., 2.Toyota Motor Corp.)
[18a-A21-2]Modeling and Optimization of Materials Property in Binary Latent Space
〇Masahiko Ishida1 (1.NEC Corp.)
[18a-A21-3]Geometric concept learning of crystal structures
〇Keisuke Ozawa1, Teppei Suzuki1, Shunsuke Tonogai2, Tomoya Itakura2 (1.DENSO IT Lab., 2.DENSO CORP.)
[18a-A21-4]Crystal structure generation based on polyhedra by graph theory
〇Tomoyasu Yokoyama1, Kazuhide Ichikawa1, Hisashi Naito2 (1.Panasonic Holdings Corp., 2.Nagoya Univ.)
[18a-A21-5]Study of a Graph Neural Network Using Isolated Atom Electronic Structures as Descriptors
〇Kiyou Shibata1, Teruyasu Mizoguchi1 (1.The Univ. of Tokyo)
[18a-A21-6]Global mapping of thermoelectric material properties using crystal graph
〇Yusuke Hashimoto1, Xue Jia2, Hao Li2, Takaaki Tomai1 (1.FRIS Tohoku Univ., 2.AIMR Tohoku Univ.)
[18a-A21-7]Investigation of Training Dataset for Reproducing Ni/Ge interfaces
in a Graph Neural Network Potential
〇(M1)Machika Naito1, Yusuke Nishimura1, Takanobu Watanabe1 (1.Waseda Univ.)
[18a-A21-8]Investigation of effective dataset required to construct graph neural network potential for SiO2/Si interface
〇(M1)Kotaro Takematsu1, Kentaro Hirai1, Yusuke Nishimura1, Takanobu Watanabe1 (1.Waseda Univ.)
[18a-A21-9]Thermal Boundary Resistance between Interconnect Unitary Metals for Beyond 2nm Logic Nodes and SiO2 Dielectric: Molecular Dynamics Calculation based on Neural Network Potential
〇Shuichiro Hashimoto1, Yusuke Nishimura2, Takanobu Watanabe1,2 (1.Wasda Univ. SEES, 2.Waseda Univ. FSE)
[18a-A21-10]Crystal Structure Prediction Using Universal Neural Network Potential PFP
〇Takuya Shibayama1, Kohei Shinohara1, Hideaki Imamura1, Katsuhiko Nishimra1, So Takamoto1, Chikashi Shinagawa1 (1.PFN)
[18a-A21-11]Support for all stable elements and improved robustness of universal neural network potential PFP
〇So Takamoto1, Chikashi Shinagawa1 (1.PFN)