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Kunihiko Taira
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Journal Articles

Machine-Learning-Based Reconstruction of Turbulent Vortices From Sparse Pressure Sensors in a Pump Sump

Kai Fukami, Byungjin An, Motohiko Nohmi, Masashi Obuchi, Kunihiko Taira
Journal: Journal of Fluids Engineering
Article Type: Research-Article
J. Fluids Eng. December 2022, 144(12): 121501.
Paper No: FE-22-1251
DOI: https://doi.org/10.1115/1.4055178
Published Online: August 23, 2022
View Article titled, Machine-Learning-Based Reconstruction of Turbulent Vortices From Sparse Pressure Sensors in a Pump Sump
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Topics: Artificial neural networks, Flow (Dynamics), Machine learning, Machinery, Multilayer perceptron, Pressure sensors, Pumps, Sensors, Turbulence, Vortices
Journal Articles

Active Flow Control of a Pump-Induced Wall-Normal Vortex With Steady Blowing

Qiong Liu, Byungjin An, Motohiko Nohmi, Masashi Obuchi, Kunihiko Taira
Journal: Journal of Fluids Engineering
Article Type: Research-Article
J. Fluids Eng. August 2020, 142(8): 081202.
Paper No: FE-19-1906
DOI: https://doi.org/10.1115/1.4046692
Published Online: April 1, 2020
View Article titled, Active Flow Control of a Pump-Induced Wall-Normal Vortex With Steady Blowing
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Topics: Flow (Dynamics), Flow control, Pressure, Pumps, Vortices, Vortex flow
Proceedings Papers

Network Theoretic Approach to Atomistic Material Modeling Using Spectral Sparsification

Peter C. Woerner, Aditya G. Nair, Kunihiko Taira, William S. Oates
Proc. ASME. SMASIS2017, Volume 1: Development and Characterization of Multifunctional Materials; Mechanics and Behavior of Active Materials; Bioinspired Smart Materials and Systems; Energy Harvesting; Emerging Technologies, V001T08A012, September 18–20, 2017
Paper No: SMASIS2017-3917
DOI: https://doi.org/10.1115/SMASIS2017-3917
View Paper titled, Network Theoretic Approach to Atomistic Material Modeling Using Spectral Sparsification
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Topics: Electric potential, Engineering simulation, Lennard-Jones potential, Modeling, Multifunctional materials, Simulation, Structural mechanics, Systems analysis, Theoretical methods
Proceedings Papers

Thermoacoustic Modeling of a Graphene-Based Actuator

Jonghoon Bin, William S. Oates, Kunihiko Taira
Proc. ASME. SMASIS2014, Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring; Keynote Presentation, V001T03A025, September 8–10, 2014
Paper No: SMASIS2014-7600
DOI: https://doi.org/10.1115/SMASIS2014-7600
View Paper titled, Thermoacoustic Modeling of a Graphene-Based Actuator
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Topics: Actuators, Graphene, Modeling, Temperature, Acoustics, Dimensions, Pressure, Algorithms, Boundary-value problems, Chain