The Wavelet Adaptive Multiresolution Representation (WAMR) code is used for the numerical time integration of the one-dimensional laminar diffusion flames equations in trans-critical and supercritical conditions, where the thermodynamic and transport properties exhibit large changes. These steep gradients are efficiently captured by the WAMR algorithm with an a-priori defined accuracy and an associated large reduction of the number of degrees of freedom, allowing a highly efficient flamelet database generation critical conditions
Nowadays numerical simulations of premixed turbulent combustion can be performed at high spatial res...
A new machine learning methodology is proposed for speeding up thermochemistry computations in simul...
Turbulent flows, noted for their chaotic dynamic and multiscale nature, are notoriously difficult an...
The Wavelet Adaptive Multiresolution Representation (WAMR) code and the G-Scheme framework are used ...
Discretisation schemes based on the use of wavelet methods offer many potential advantages for the n...
We use an adaptive wavelet collocation method to estimate the number of space computational modes, N...
The ability to model non-premixed combustion is very important; many practical combustion devices op...
Abstract: A novel wavelet-based method for the simulation of reacting flows on adaptive meshes is pr...
Advancements to the adaptive wavelet-collocation method over the last decade have opened up a number...
An adaptive wavelet method is applied in order to enhance the computational efficiency of enhanced M...
This paper is concerned with the development of a self-adaptive spatial discretization for partial d...
This paper is concerned with the development of a self-adaptive spatial descretization for PDEs usin...
International audienceWe present a wavelet-based adaptive method for computing 3D flows in complex, ...
The thesis topic is located in the domain of numerical simulation of laminar flames. The principal a...
Abstract: The technology of two level Cartesian mesh adaptation based on wavelet detection...
Nowadays numerical simulations of premixed turbulent combustion can be performed at high spatial res...
A new machine learning methodology is proposed for speeding up thermochemistry computations in simul...
Turbulent flows, noted for their chaotic dynamic and multiscale nature, are notoriously difficult an...
The Wavelet Adaptive Multiresolution Representation (WAMR) code and the G-Scheme framework are used ...
Discretisation schemes based on the use of wavelet methods offer many potential advantages for the n...
We use an adaptive wavelet collocation method to estimate the number of space computational modes, N...
The ability to model non-premixed combustion is very important; many practical combustion devices op...
Abstract: A novel wavelet-based method for the simulation of reacting flows on adaptive meshes is pr...
Advancements to the adaptive wavelet-collocation method over the last decade have opened up a number...
An adaptive wavelet method is applied in order to enhance the computational efficiency of enhanced M...
This paper is concerned with the development of a self-adaptive spatial discretization for partial d...
This paper is concerned with the development of a self-adaptive spatial descretization for PDEs usin...
International audienceWe present a wavelet-based adaptive method for computing 3D flows in complex, ...
The thesis topic is located in the domain of numerical simulation of laminar flames. The principal a...
Abstract: The technology of two level Cartesian mesh adaptation based on wavelet detection...
Nowadays numerical simulations of premixed turbulent combustion can be performed at high spatial res...
A new machine learning methodology is proposed for speeding up thermochemistry computations in simul...
Turbulent flows, noted for their chaotic dynamic and multiscale nature, are notoriously difficult an...