Hideki Kikumoto 
- (2024): Source term estimation in the unsteady flow with dynamic mode decomposition. In: Sustainable Cities and Society, v. 115 (November 2024).
- (2023): Transfer learning strategy for data-driven correction of wind measurement around buildings using cup anemometers. In: Building and Environment, v. 241 (August 2023).
- (2022): Study on influence of air cleaner on room dispersion field and its optimal placement using adjoint concentration. In: Japan Architectural Review, v. 6, n. 1 (21 November 2022).
- (2022): Towards real-time prediction of velocity field around a building using generative adversarial networks based on the surface pressure from sparse sensor networks. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 231 (December 2022).
- (2022): Turbulence-induced ventilation of an isolated building: Ventilation route identification using spectral proper orthogonal decomposition. In: Building and Environment, v. 223 (September 2022).
- (2022): Wind tunnel experiments on pumping ventilation through a three-story reduce-scaled building with two openings affected by upwind and downwind buildings. In: Building and Environment, v. 219 (July 2022).
- (2015): Study on the future weather data considering the global and local climate change for building energy simulation. In: Sustainable Cities and Society, v. 14 (February 2015).
- (2021): Winter air infiltration induced by combined buoyancy and wind forces in large-space buildings. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 210 (March 2021).
- (2016): A study of urban thermal environment in Tokyo in summer of the 2030s under influence of global warming. In: Energy and Buildings, v. 114 (February 2016).
- (2020): Validation of lattice Boltzmann method-based large-eddy simulation applied to wind flow around single 1:1:2 building model. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 206 (November 2020).
- (2020): Wind tunnel experiment on high-buoyancy gas dispersion around isolated cubic building. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 202 (July 2020).
- (2017): Turbulent Schmidt number for source term estimation using Bayesian inference. In: Building and Environment, v. 125 (November 2017).
- (2012): A study on air pollutant dispersion with bimolecular reactions in urban street canyons using large-eddy simulations. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 104-106 (May 2012).
Structurae cooperates with
