activity
20202023
most citedData Assimilation in the Latent Space of a Neural Network

20 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2023

Heat and Mass Transfer in the Porous Wick of a Capillary Evaporator

Laetitia Mottet, Typhaine Coquard, Marc Prat

Heat and mass transfer inside the porous wick of a capillary evaporator is studied using a mixed pore-network model. The impact of the thermal conductivity of the wick on the overh…

physics.flu-dyn2023

Fluidity Manual for indoor-outdoor exchanges and urban environment simulations

Laetitia Mottet, Carolanne Vouriot

The aim of this document is to show how Fluidity can be used to set up typical indoor simulations under a range of conditions. Further information can also be found in the Fluidity…

physics.flu-dyn2023

Indoor Geometry Generator (IGG) Manual

Laetitia Mottet

The Indoor Geometry Generator (IGG) is able to generate automatically simplified indoor geometry and its associated unstructured mesh for Computational Fluid Dynamics (CFD) simulat…

cs.LG2021★ 19 cited

Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations

César Quilodrán-Casas, Rossella Arcucci, Laetitia Mottet +2

This paper presents an approach to improve the forecast of computational fluid dynamics (CFD) simulations of urban air pollution using deep learning, and most specifically adversar…

cs.LG2020★ 20 cited

Data Assimilation in the Latent Space of a Neural Network

Maddalena Amendola, Rossella Arcucci, Laetitia Mottet +5

There is an urgent need to build models to tackle Indoor Air Quality issue. Since the model should be accurate and fast, Reduced Order Modelling technique is used to reduce the dim…