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フロンティア計算物質科学研究グループ
Showing the original Japanese · View translation
乱流と物質の性質を、計算で調べる研究グループ。
AboutAbout the lab
流れと物質を、計算で解き明かす。
フロンティア計算物質科学研究グループは、
芳松克則准教授は、
洗平昌晃助教は、
洗平助教は、
Key terms
- 乱流
- 大小さまざまな
スケールの 渦が 混在する 流れ。 身の 周りの 流れの 大半は 乱流である - 非等方性
- 向きに
よって 統計的な 性質が 異なる こと。 乱流では スケールが 小さくなる ほど 弱まると 考えられている - 機械学習ポテンシャル
- データ科学の
技術で、 高精度な 第一原理電子状態計算の 結果を 再現するように 作った ポテンシャル
ResearchResearch themes
乱流の
乱流の小さなスケールの普遍性
乱流の
*Illustrative image機械学習ポテンシャルで追うイオンの動き
機械学習ポテンシャルを
MembersFaculty
- Associate Professor芳松 克則
- Assistant Professor洗平 昌晃
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数理工学研究グループ工学部 物理工学科数値解析学、The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Magnetic turbulence” Giannandrea Inchingolo / CC BY-SA 4.0 (cropped)
- 機械学習ポテンシャルで
追うイオンの 動き: “Visual Molecular Dynamics visualization” Toughpkh / Public domain (cropped) - Related lab (材料設計工学研究グループ): “Multicrystalline silicon wafer with thin film iridescence” Radiotrefoil / CC BY-SA 4.0 (cropped)
- Related lab (量子スピン物性工学研究グループ): “Ferrofluid close” Opoterser / CC BY 3.0 (cropped)
- Related lab (強相関物質工学研究グループ): “Vapor Crystal Growth System Furnace” NASA / Public domain (cropped)
- Related lab (数理工学研究グループ): “The catalyst high performance computing (HPC)” ENERGY.GOV / Public domain (cropped)
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