In a preliminary attempt to address the problem of data scarcity in
phys...
In recent years, Machine learning (ML) techniques developed for Natural
...
The discovery of fast numerical solvers prompted a clear and rapid shift...
In this paper we show that our Machine Learning (ML) approach, CoMLSim
(...
Thermal analysis provides deeper insights into electronic chips behavior...
Iterative solvers of linear systems are a key component for the numerica...
Numerical simulations for engineering applications solve partial differe...
We present a notion of geometry encoding suitable for machine learning-b...
In this work we propose a hybrid solver to solve partial differential
eq...
Joint probability density function (PDF)-based models in turbulent combu...
Engineering simulations for analysis of structural and fluid systems req...
Topology optimization has emerged as a popular approach to refine a
comp...
Probability density function (PDF) based turbulent combustion modelling ...
Over the last few decades, existing Partial Differential Equation (PDE)
...