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Giovanni Calzolari
Giovanni Calzolari
PhD student, division of Sustainable Buildings, KTH Royal Institute of Technology
Bestätigte E-Mail-Adresse bei kth.se
Titel
Zitiert von
Zitiert von
Jahr
Deep learning to replace, improve, or aid CFD analysis in built environment applications: A review
G Calzolari, W Liu
Building and Environment 206, 108315, 2021
1142021
Deep learning to develop zero-equation based turbulence model for CFD simulations of the built environment
G Calzolari, W Liu
Building Simulation 17 (3), 399-414, 2024
2024
A deep learning accelerator framework for large eddy simulation in the built environment Building Simulation 2023 Conference
G Calzolari, W Liu
18th IBPSA Conference on Building Simulation, BS 2023, Shanghai, China, Sep …, 2023
2023
A Deep Learning Based Zero-equation Turbulence Model for Indoor Airflow Simulation
G Calzolari, W Liu
International Conference on Building Energy and Environment, 1835-1843, 2022
2022
Deep learning for CFD analysis in built environment applications: a review
G Calzolari, W Liu
CLIMA 2022 conference, 2022
2022
CFD study and method development for air intake systems using OpenFOAM
G Calzolari
2020
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