Synthesize Fast CFD

A machine-learning based tool is customized in order to synthesize fast CFD to be used in the design process of urban and building skins. SOM is used to abstract the CFD vector fields of airflow around buildings. The CFD vector fields are abstracted into the most dominant probabilistic patterns of airflow vectors. Consequently, that substitute CFD simulators by fast probabilistic-based emulator.

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