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ALgorithms for Large-scale Optimization of WAve Propagation Problems – ALLOWAPP
The goal of the ALLOWAPP project is to design space-time parallel algorithms for optimization problems that arise when modelling wave phenomena. Such problems occur in geophysical applications such as seismic inversion, in data assimilation, and also in medical applications such as brain imaging. To
Bridging geohysics and MachinE Learning for the modeling, simulation and reconstruction of Ocean DYnamics – MeLODy
Artificial Intelligence (AI) technologies and models open new paradigms to address poorly-resolved or poorly-observed processes in ocean-atmosphere science from the in-depth exploration of available observation and simulation big data. This proposal aims to bridge the physical model-driven paradigm
SOLvers for Heterogeneous Architectures over Runtime systems, Investigating Scalability – SOLHARIS
The advent of multicore technology in the early '00s brought a sharp rupture with the past for the scientific computing community. The researchers needed to revise methods and algorithms in order to take full advantage of the increasing levels of parallelism. Ever since, the number of cores per
Big Data reduction for predictive computational modeling – DataRedux
The DataRedux project focuses on developing radically new methods for the reduction of the complexity of large networked datasets to feed effective and realistic data-driven models of spreading phenomena. Many rich datasets on actions and interactions of individuals have recently become available,
Direct Data-Driven Computational Mechanics for Anelastic Material Behaviours – D3MecA
Numerical simulations in engineering and many fields of applied sciences require to provide, in addition to fundamental conservation principles, some constitutive relations between fields of interest, for example strain and stress in mechanics. Traditionally, these relations are derived from constit
MUltiscale and treFFtz for numerIcal traNsport – MUFFIN
In many applications, one is faced with the problem of solving numerically a set of transport equations, also called kinetic equations in this document. The huge difficulty attached to this task is that it may be computationally exhausting, mainly because of the high dimension and of the multi-scale
GEOphysical Flows with UNified models – GeoFun
The objective of the GeoFun project is to improve the modeling and simulation of geophysical flows involving at least two different processes. The main application we have in mind is water catchment areas, where a shallow free surface flow stands above a underground flow on porous medium. Our vision
Incoherent wave Characterization for Correlation-based Imaging – ICCI
This proposal aims to address original questions related to wave propagation in random media and to develop new algorithms for sensor array imaging. The motivation is to understand and overcome the limitations of current imaging techniques when dealing with data acquired in complex environments. Ind
SImulations with high-order schemes of tranSport and TurbulencE in a tokaMak – SISTEM
The SISTEM project aims to successfully achieve the strong scaling-up of plasma simulations in view of the fusion operation in a tokamak of unprecedented size, and with stringent plasma conditions. - A 2D high-order non-isothermal ?uid solver including neutral dynamics to simulate turbulent transpor
High Performance computing for quantifying climate change impacts on boreal areas – HiPerBorea
Permafrost thaw dynamics is a key factor for climatic evolution. The involved physics are highly coupled and non-linear, and simulating them at the scale of long-term monitored watersheds requires the development of spatially distributed and process oriented high performance computing tools. The fie
Eulerian numerical modelling of fluid-structure interactions: application to the simulation of biological capsules in flow – CapsEulerianFSI
The objective of the project is to develop an original HPC numerical tool to model the fluid-structure interaction of capsules under flow. The innovative nature of the project is the use of novel purely Eulerian models of fluid-structure interactions under large deformations that are adapted to m
Mesoscale models from massively parallel atomistic simulations: uncertainty driven, self-optimizing strategies for hard materials – MeMoPAS
Atomistic simulations utilising short ranged interatomic force fields can be parallelized in space but not in time, limiting trajectory timescales to microseconds irrespective of the number of available processors. As material evolution is routinely controlled by rare events over the timescales of m
Cross-diffusion systems in moving domains – COMODO
The production of the thin film inside of which occur the photovoltaic phenomena accounting for the efficiency of the whole solar cell is done via a Physical Vapor Deposition (PVD) process. More precisely, a substrate wafer is introduced in a hot chamber where the different chemical species composin
