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MEMBERS

Hiraide, K., Oya, Y., Hirayama, K., Endo, K., Muramatsu, M., ” Development of deep learning model for phase separation structure of diblock copolymer based on self-consistent field analysis”, Advanced Composite Materials, Vol. 00, pp. 00 1-14, Accepted (2024). https://doi.org/10.1080/09243046.2024.2316421

Achievement of Yusuke Yamazaki

Paper

  1. Yamazaki, Y., Harandi, A., Muramatsu, M., Viardin, A., Apel, M., Brepols, T., Reese, S., Rezaei, S., “A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains”, Engineering with Computers, Vol. ??, pp. 1-29, (2024). https://doi.org/10.1007/s00366-024-02033-8
  2. Yamazaki, Y., Murashima, T., Kouznetsova, V., Muramatsu, M., “A multiscale FEM-MD coupling method for investigation into atomistic-scale deformation mechanisms of nanocrystalline metals under continuum-scale deformation”, Physica Scripta, Vol. 99, No.2, pp. 025408 1-20, (2023). https://doi.org/10.1088/1402-4896/ad1c1e

International conference

  1. Yamazaki, Y.*，Harandi, A., Reese, S., Muramatsu, M., Rezaei, S., “A Physics-informed Operator Learning Framework Inspired by The Finite Element Method for Prediction of Dynamics Physical Phenomena: Case Study on Transient Heat Conduction”, 16th World Congress on Computation Mechanics & 4th Pan American Congress on Computational Mechanics (WCCM-PANACM2024), Canada (2024), MS??, ??.
  2. Yamazaki, Y.*, Murashima, T., Muramatsu, M. “An investigation of the effects of change in crystal structure on the mechanical properties of nanocrystalline aluminum using a continuum-atomic multiscale bridging method”, 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS2022), Norway (2022), MS6F-5.
  3. Yamazaki, Y.*, Murashima, T., Muramatsu, M. “An Investigation of the Effect of Deformation Twinning on the Ductility of Nano-polycrystalline Aluminum Using an Atomic-continuum Multiscale Simulation Method”, XVI International Conference on Computational Plasticity (COMPLAS2021), Online, (2021), WM4-3.

Domestic conference

  1. ⼭嵜祐輔*, Ali Harandi, Stafanie Reese, 村松眞由, Shahed Rezaei「動的物理現象に対する有限要素分割を利⽤したPhysics-informed operator learning フレームワークの提案｣, 第29回計算工学講演会, ?-??-?? (6 pages), (2024).
  2. 山嵜祐輔*，Ali Harandi, 村松眞由，Stefanie Reese, 「Phase-field破壊モデルに対するMixed Formulation PINNsの適用｣, 第36回日本機械学会計算力学講演会講演論文集, OS24-04 (4 pages), (2023).
  3. 山嵜祐輔*，村島隆浩，村松眞由, 「ナノ多結晶アルミニウムにおける双晶と延性に対する原子-連続体マルチスケール解析｣, 第26回計算工学講演会, D-04-03 (6 pages), (2021).
  4. 山嵜祐輔*，村松眞由，村島隆浩, ｢ナノ多結晶アルミニウムにおける双晶と延性に関する原子-連続体マルチスケールシミュレーション｣, 日本機械学会関東学生会第60回学生員卒業研究発表講演会, OS1-102 (5 pages), (2021).

Award

  1. JSCESスカラーシップアワード（2024.03.15）
  2. 日本機械学会関東支部 学生優秀発表賞（2021.03.10）
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