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GEKKOPATRIABUDIUTAMA 2022年 研究業績一覧 (5件 / 20件)
論文
国際会議発表 (査読有り)
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Gekko Budiutama,
Sergei Manzhos,
Manabu Ihara.
Hybrid Density Functional based Tight Binding-Molecular Mechanics Approach with Machine Learned Potentials for Large-Scale Materials Modeling,
2022 MRS Fall Meeting & Exhibit,
Dec. 2022.
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Gekko Budiutama,
Sergei Manzhos,
Manabu Ihara.
Investigation of expressive power of a neural network architecture suited for optical neural networks,
SPIE/COS Photonics Asia 2022,
Dec. 2022.
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Gekko Budiutama,
Sergei Manzhos,
Manabu Ihara.
Investigation of expressive power of a neural network architecture suited for optical neural networks,
SPIE/COS Photonics Asia 2022,
PROCEEDINGS VOLUME 12318, SPIE/COS PHOTONICS ASIA 2022, Holography, Diffractive Optics, and Applications XII,
Dec. 2022.
国内会議発表 (査読なし・不明)
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