‪Giovanni Calzolari‬ - ‪Google Scholar‬

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20222023202428 55 32

Co-authors

Wei LiuDivision of Sustainable Buildings, KTH Royal Institute of TechnologyVerified email at byv.kth.se

Giovanni Calzolari

Giovanni Calzolari

PhD student, division of Sustainable Buildings, KTH Royal Institute of Technology

Verified email at kth.se

Fluid Dynamics Fluid Mechanics Deep Learning Built environment


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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	116	2021
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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