research
∙
09/11/2023
Interpretable learning of effective dynamics for multiscale systems
The modeling and simulation of high-dimensional multiscale systems is a ...
share
research
∙
09/04/2023
Hybrid data driven/thermal simulation model for comfort assessment
Machine learning models improve the speed and quality of physical models...
research
∙
09/04/2023
Rail Crack Propagation Forecasting Using Multi-horizons RNNs
The prediction of rail crack length propagation plays a crucial role in ...
research
∙
06/18/2023
Meta-Learning for Airflow Simulations with Graph Neural Networks
The field of numerical simulation is of significant importance for the d...
research
∙
11/30/2022
Continuous Methods : Adaptively intrusive reduced order model closure
Reduced order modeling methods are often used as a mean to reduce simula...
research
∙
07/08/2022
Continuous Methods : Hamiltonian Domain Translation
This paper proposes a novel approach to domain translation. Leveraging e...
research
∙
02/22/2022
