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キトリ豬チスホツ邉リ ヘケゥウリノ オ。ウ」ケゥウリイハ ソシウクヲオ貍シ、マ2007ヌッ4キ、ヒテツタク、キ、ソ。「、゙、「、゙、「テ豺 [bigsmile]、ホクヲオ貍シ、ヌ、ケ。」ヒワクヲオ貍シ、ヌ、マ。「ホョツホホマウリ、ホ、ヲ、チ。「ヘホョ、、マ、ク、皃ネ、ケ、ハ」サィヌョホョニークスセン、ホソテヘ・キ・゚・螂。シ・キ・逾オレ、モソヘ・筵ヌ・・・ー、ヒエリ、ケ、クヲオ譯「、オ、鬢ヒ、マ、ウ、、鯢ョホョニークスセン、ヒツミ、ケ、タ霑ハナェタゥク貍ヒ。、ホウォネッ、ケヤ、テ、ニ、、、゙、ケ。」、゙、ソ。「タゥク賚マタ。「コヌナャイスシヒ。。「オ。ウ」ウリスャ。「、ェ、隍モツ邨ャフマヌョホョニー・キ・゚・螂。シ・キ・逾オサスム、ナケ遉キ、ソヌョホョツホ・キ・ケ・ニ・狢゚キラシヒ。、ホウホホゥ、ヒ、箴隍チネ、、ヌ、、、゙、ケ。」

ツ邉リア。、ヌ、マアヘムホマウリ。ヲキラササホマウリタス、、ヒスツー、キ。「ケニ箋ー、ホツセ、ホクヲオ豬。エリ、ネ、ホカィホマエリキク、ホ、筅ネ、ヒクヲオ讀ソハ、皃ニ、、、゙、ケ。」

クヲオ讌ュ。シ・。シ・ノ。ァホョツホホマウリ。、ホョ、、ホタゥク譯、ヘホョ。、ソテヘ・キ・゚・螂。シ・キ・逾。、シツクウ。、オ。ウ」ウリスャ
ウリフ萍ャフ。ァハェヘウリ。、キラササケゥウリ。、セハケゥウリ。、・ヌ。シ・ソ・オ・、・ィ・・ケ。、オ。ウ」ケゥウリ。、ケメカケゥウリ。、シォニーシヨケゥウリ。、・ィ・ヘ・・ョ。シケゥウリ。、オ、センウリ。、エトカュイスウリ
ケ篁サ、ホイハフワ、ヌクタ、ヲ、ネ。ト。ァハェヘエチテ。、ハェヘ。、ソウリ。ハI, II, III, A, B, C。ヒ。、セハ。ハI, II。ヒ

News

2022-06-22Out now!Y. Nabae and K. Fukagata, "Drag reduction effect of streamwise traveling wave-like wall deformation with spanwise displacement variation in turbulent channel flow," Flow Turbul. Combust. (2022). https://doi.org/10.1007/s10494-022-00334-w
2022-05-31Out now!T. Nakamura and K. Fukagata, "Robust training approach of neural networks for fluid flow state estimations," Int. J. Heat Fluid Flow 96, 108977 (2022).
2022-05-26Conferenceソシウ网ャ ParCFD 2022 (Alba, Italy (Hybrid))、ヌセキツヤケヨア鬢ケヤ、、、゙、キ、ソ。」
2022-03-31220331.jpgソシウ网ャ INI Workshop (Cambridge (hybrid)) 、ヌセキツヤケヨア鬢ケヤ、、、゙、キ、ソ。・
2022-03-31Awardタ鯒ト(B4)、ャニヒワオ。ウ」ウリイエリナサルノ。ヨツ61イウリタクーツエカネクヲオ貶ッノスケヨア魎。ラBest Presentation Award 、シゼ、キ、゙、キ、ソ。・
2022-03-31Out now!D. Hiruma, R. Onishi, K. Takahashi, and K. Fukagata, "Sensitivity study on storm modulation through a strategic use of consumer air conditioners," Atmos. Sci. Lett. (2022). http://doi.org/10.1002/asl.1091
2022-03-28220328-1.jpgトケテォタ(M2.5)、ャニヒワオ。ウ」ウリイサーアコゼ、。「ソケヒワ(M2)、ャニ」クカセゥウリエカ簇」クカゼ、シゼ、キ、゙、キ、ソ。・
2022-03-23220323-chida-1.jpgタ鯒ト(B4)、ャキトリ豬チスホツ邉リヘケゥウリノオ。ウ」ケゥウリイハシ酩、ノスセエ、シゼ、キ、゙、キ、ソ。・
2022-03-08220308-fujima.jpgニ」エヨ(M1)、ャツ25イヘホョタゥク貂ヲオ豐、ヌヘ・スィゼ(Outstanding Presentation Award)、シゼ、キ、゙、キ、ソ。・
2022-03-08Out now!T. Nakamura, K. Fukami, and K. Fukagata, "Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions," Sci. Rep. 12, 3726 (2022).
2022-02-15Out now!K. Fukagata, News & Views: "Towards quantum computing of turbulence," Nat. Comput. Sci. 2, 68-69 (2022).
2022-02-09PhD defenseニヌネケセ(D3)、ホヌサホマタハククトーイ、ャウォコナ、オ、、゙、キ、ソ。・
2021-12-23Awardソケヒワ(M2)。、ツ邊マニ(M1)。、タ鯒ト(B4)、ャ ニヒワホョツホホマウリイ。ヲシ羮ヘ・スィケヨア鯔スセエ、シゼ、キ、゙、キ、ソ.
2021-12-15Conferenceテ貭シ(M2)。、ソケヒワ(M2)。、ツ邊マニ(M1)。、タ鯒ト(B4)、ャ ツ35イソテヘホョツホホマウリ・キ・・ン・ク・ヲ・(online)、ヒ、ニケヨア鬢ケヤ、、、゙、キ、ソ.
2021-12-13Conferenceトケテォタ(M2.5)、ャMachine Learning and the Physical Sciences, Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS)、ヌネッノス、キ、゙、キ、ソ。」
2021-12-10Out now!Y. Nabae and K. Fukagata, "Bayesian optimization of traveling wave-like wall deformation for friction drag reduction in turbulent channel flow," J. Fluid Sci. Technol. 16, JFST0024 (2021).
2021-12-07PreprintT. Nakamura and K. Fukagata, "Robust training approach of neural networks for fluid flow state estimations," arXiv:2112.02751.
2021-12-01Awardタ鯒ト(B4)、ャツ24イヘホョタゥク貂ヲオ豐、ヌヘ・スィゼ(Outstanding Presentation Award)、シゼ、キ、゙、キ、ソ。・
2021-11-26Out now!ソシウ ケッニ。、。ヨヘホョ、ホオ。ウ」ウリスャ、ネタゥク譯ラ。、・ユ・。シ・ノ・ム・。シ・キ・ケ・ニ・ 52(6), 237-241 (2021)。・
2021-11-16a-deep-learning-techni.jpgVoronoi CNN (Fukami et al., Nat. Mach. Intell. (2021))、ャ TechXplore 、ヌセメイ、オ、、゙、キ、ソ。」
2021-11-12Out now!S. Miura, M. Ohashi, K. Fukagata, and N. Tokugawa, "Drag reduction by uniform blowing on the pressure surface of an airfoil," AIAA J. (2021). https://doi.org/10.2514/1.J060831
2021-11-12Out now!Y. Morita, S. Rezaeiravesh, N. Tabatabaei, R. Vinuesa, K. Fukagata, and P. Schlatter, "Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems," J. Comput. Phys. 449 110788 (2022).
2021-11-04Out now!M. Morimoto, K. Fukami, K. Zhang, and K. Fukagata, "Generalization techniques of neural networks for fluid flow estimation," Neural Comput. Appl. 34, 3647-3669 (2022).
2021-10-30Out now!ソシウ ケッニ。、ソシクォ ウォ。、。ヨオ。ウ」ウリスャスフフ・筵ヌ・、ヘム、、、ソウラソキナェホョ、タゥク讀ヒク、ア、ニ。ラ。、ナチヌョ 60(253), 12-15 (2021).
2021-10-29Out now!K. Fukami, R. Maulik, N. Ramachandra, K. Fukagata, and K. Taira, "Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning," Nat. Mach. Intell. 3, 945-951 (2021)
2021-10-04hasegawa-fdr20.pngア゚テシ、ホョ、、ホオ。ウ」ウリスャ、ヒエリ、ケ、マタハク。ハHasegawa et al., 2020。ヒ、ャFluid Dynamics Researchサ、ホHighlight articles 2020、ヒチェ、ミ、、゙、キ、ソ。」

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