Slides from the Training "Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API" given at the 17th OpenFOAM Workshop1.
Brain perfusion imaging techniques rely on the measurement of spatio-temporal concentration fields o...
AbstractWe answer a problem of Liao [S.T. Liao, Standard systems of differential equations and obstr...
We discuss recent studies addressing the properties of tokamak SOL turbulence using a global, electr...
Many domains of science have developed complex simulations to describe phenomena of interest. While ...
This presentation was part of Day 5 of the Open Science in Practice Summer School #osip2017. Additio...
The impressive breakthroughs of the last two decades in the field of machine learning can be in larg...
International audienceThe Physics-Informed Neural Network (PINN) corresponds to a machinelearning...
Through chaos decomposition we improve the Varadhan estimate for the rate of convergence of the cen...
Over the past five years we have developed two open source software packages called GHOST and PHIST ...
It remains challenging to deploy existing risk-averse approaches to real-world applications. The rea...
National audienceWe propose a new method to apply the Lipschitz functional calculus of local Dirichl...
In the tokamak scrape-off layer (SOL) the magnetic field lines are open, channeling particles and he...
The density matrix renormalization group (DMRG) has an underlying variational ansatz, the matrix pro...
AbstractWe show that the new relation between master integrals recently obtained in M.Yu. Kalmykov a...
The research in this thesis investigates how atoms and molecules constituting aqueous salt solutions...
Brain perfusion imaging techniques rely on the measurement of spatio-temporal concentration fields o...
AbstractWe answer a problem of Liao [S.T. Liao, Standard systems of differential equations and obstr...
We discuss recent studies addressing the properties of tokamak SOL turbulence using a global, electr...
Many domains of science have developed complex simulations to describe phenomena of interest. While ...
This presentation was part of Day 5 of the Open Science in Practice Summer School #osip2017. Additio...
The impressive breakthroughs of the last two decades in the field of machine learning can be in larg...
International audienceThe Physics-Informed Neural Network (PINN) corresponds to a machinelearning...
Through chaos decomposition we improve the Varadhan estimate for the rate of convergence of the cen...
Over the past five years we have developed two open source software packages called GHOST and PHIST ...
It remains challenging to deploy existing risk-averse approaches to real-world applications. The rea...
National audienceWe propose a new method to apply the Lipschitz functional calculus of local Dirichl...
In the tokamak scrape-off layer (SOL) the magnetic field lines are open, channeling particles and he...
The density matrix renormalization group (DMRG) has an underlying variational ansatz, the matrix pro...
AbstractWe show that the new relation between master integrals recently obtained in M.Yu. Kalmykov a...
The research in this thesis investigates how atoms and molecules constituting aqueous salt solutions...
Brain perfusion imaging techniques rely on the measurement of spatio-temporal concentration fields o...
AbstractWe answer a problem of Liao [S.T. Liao, Standard systems of differential equations and obstr...
We discuss recent studies addressing the properties of tokamak SOL turbulence using a global, electr...
DOI
Add to ORKG