Projects

The OpenSuperQplus consortium is a structured partnership aiming at large-scale European quantum computers in the superconducting platform.

The Laboratories for Trans-border Cooperation (LTCs) are a formula for collaboration that have been developed since 2015 in the frame of the Campus Euskampus-Bordeaux.

The main objective of this Marie Curie RISE Action is to improve and exchange interdisciplinary knowledge on applied mathematics, high performance computing, and geophysics to be able to better simulate and understand the materials composing the Earth's subsurface.

The Intergovernmental Panel on Climate Change (IPCC) has concluded that climate change is now indisputable and is having irreversible consequences.

ADAM^2 aims at questioning five decades of traditional paradigms in computer aided design CAD.

Early-stage diagnosis and continuous non-invasive monitoring of coagulopathies is a challenging problem that has been exacerbated by the COVID-19 pandemic.

The 2020 COVID-19 outbreak has revealed infections that result in particularly distinct outcomes: certain patients remain asymptomatic during the infection, others experience moderate symptoms for a few weeks, while still others suffer acute or even critical complications.

The main goal of this project is to perform efficient and accurate simulations of the turbulent compressible flow and generated noise on the new high-speed gas turbines at operation conditions, with the aim of supporting engineers in the design of efficient engines and effective noise reduction s

EU's GDPR prescribes that ""Personal Data shall be processed lawfully, fairly, and in a transparent manner."" The vision of this BayesianGDPR project is to integrate into automated machine learning systems using a novel Bayesian approach, in a transparent manner, the legal non-discriminatory prin

The main objective of this project is to design stabilized space-time adaptive techniques based on Discontinuous Petrov-Galerkin (DPG) methodology for the simulation of transient Partial Differential Equations (PDEs), with special emphasis on advection-dominated- diffusion and wave propagation pr

The past four decades demonstrated that non-neuronal cells, called astrocytesare emerging as crucial players for brain function & dysfunction.

This proposal concerns singularities arising in the solution spaces of systems of polynomial equations.

MACROPISTAS aims at questioning of few decades of traditional paradigms in 5-axis flank CNC machining by performing cutting-edge research in geometric modeling, mathematics, and manufacturing.

Subproject 2 is divided in three different lines: phase response functions, estimation of model parameters and synaptic conductances and mapping multi-time scale models to macroscopic descriptions.

The main goal of this project is the formulation of a stochastic dynamic prediction theory for ensemble forecasting of wildfire propagation.

An accurate interpretation of output data in soft-matter experiments requires a general theoretical framework able to encapsulate the relevant physics and rationalize the results.

This scientific proposal covers a broad scope of problems within the harmonic analysis in Euclidean and non-Euclidean settings, pursuing applications to partial differential equations (PDEs). Here it is an account of the topics that will be treated.

The world of materials is undergoing a revolution and its main drivers are the complex materials that have a special composition at small scales, exhibiting microstructure.

DEEPINVERSE project focuses on the numerical real-time inversion of wave propagation problems governed by Partial Differential Equations (PDEs) utilizing Deep Learning (DL) algorithms.