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Original Optimized Object Oriented Numerical Model for Heterogeneous Hydrogeology – H2MNO4
The project H2MNO4 will develop numerical models for reactive transport in heterogeneous media. It defines six mathematical and computational challenges and three applications for environmental problems with societal impact. This basic research project matches perfectly well with the first topic of
Lattice Boltzmann for complex flow and transport in heterogeneous porous media – LaboCothep
Governing equations classically used to model flow and transport in multi-scale heterogeneous porous media strongly depend on the scale distribution itself. The aim of the present work is to develop a stable, robust and efficient Lattice-Boltzmann equation scheme that allows for the investigation of
VIrtual angiography simulation from 3D and 3D+t BRAIN VAscular models – VIVABRAIN
Imaging blood flows (a.k.a. angiography) is used for the diagnosis, follow-up and treatment of various conditions affecting the vascular network, in particular in the brain. Improved image analysis precision implies better outcomes for various procedures and interventions. To this end, we identify t
Analysis, Improvement and Evaluation of Numerical Black-Box Optimizers – NumBBO
Numerical optimization problems are at the core of many present industrial design or development tasks and inherent to some of the decisive issues of our society. Numerical blackbox optimization methods, interpreting a problem as a blackbox where the only available information is the obtained functi
PARtonic Tomography Of Nucleon Software – PARTONS
The study of the nucleon structure is a long-term program at the boundary between nuclear and particle physics regrouping hundreds of physicists worldwide. Obtaining a precise quantitative understanding of the strong interaction is one of the major challenges of modern science. Our approach consists
Bose-Einstein Condensates: Advanced SIMulation Deterministic and Stochastic Computational Models, HPC Implementation, Simulation of Experiments – BECASIM
The goal of this project is to provide a new state-of-the-art Numerical Methods and High Performance Computing (HPC) software for the numerical simulation of Bose-Einstein condensates (BEC). This is a timely objective, since BEC physics is a very dynamic research field, with applications belonging t
Robustness, automation and reliability of integral formulations for wave propagation: a posteriori estimators and adaptivity. – RAFFINE
The RAFFINE project involves the development of a posteriori estimators and adaptive methods for integral equations applied to the simulation of acoustic, electromagnetic and elastic waves. Integral methods, and their implementation into boundary element methods (BEMs), are among the major tools for
Virtual damping for vibroacoustic design of future launchers – ARIAN
The control of damping is a major problem in the dimensioning of space and land vehicles. By reducing or eliminating costly structural tests, the absence of damping models can lead to over designing the structure instead of insuring its vibration comfort, which constitutes the main objective of the
Multi-physics models and robotics algorithms for protein computer-aided design – ProtiCAD
Proteins are essential parts in living organisms. They participate in most of the cellular processes such as gene expression, signal transmission, catalysis of chemical reactions, … Due to their large range of possible functions, the study of proteins interests other fields in addition to biology. P
ORGAnic solar cell VOLTage by numerical computation. – ORGAVOLT
Bulk photo emission spectroscopy (PES) confirms the existence of bands in crystalline organic semiconductors. However the same data also show a broadening of the quasi particle peaks with increasing temperature. Photons incident on the donor (D) acceptor (A) interface can be considered to pump
Interacting Systems and Optimal Transportation, Applications to Computational Economics. – ISOTACE
The use of partial differential equations (PDE) in Economics and more generally social sciences is a relatively young field of research. Optimal Transportation* (OT) and Mean field Games (MFG) theories have, in this context, recently received a lot of attention. The "Computational Fluid D
Simulators for the learning of childbirth – SAGA
Like most medical training, training of obstetricians and midwives, aims to develop in students a joint theoretical and practical knowledge. But models, videos and teaching materials used in schools and training of obstetricians, do not allow training to all actions, nor the understanding of physica
Probabilistic Models for Natural Hazards – MODNAT
The main goal of this project is to develop high fidelity stochastic models of natural events in order to: 1.describe their uncertain behaviour 2.generate easily synthetic realizations 3.evaluate the impacts of natural events on structures High fidelity, meaning here that we want to overco
3D modeling of Digital Mock-Up based on the integration of heterogeneous data – METIS
This project is in the field of reverse engineering, which is widely used in the manufacturing industry to capitalize on knowledge that has not yet been and is now becoming crucial to develop products. There are many applications, such as reverse engineering of existing products in order to modify /
Calibration and valIdation of transport-land use models – CITiES
The ultimate goal of CITiES is to promote the dissemination of LUTI models among urban planners and local authorities as a way to make the design of sustainable urban policies easier. Results will be presented ASAP (The project has started in January 2013) Perspectives will be presented at the end o
Markovian Modeling Tools and Environments – MARMOTE
The aim of the project is to realize a modeling environment dedicated to Markov models. One part will develop the Perfect Simulation techniques, which allow to sample from the stationary distribution of the process. A second one will develop parallelization techniques for Monte Carlo simulation.
Harmonising multiple scales for data-driven computational approaches to the modeling of influenza spread. – HarMS-flu
New advances in science and medicine help us gain ground against certain infectious diseases, yet new infections continue to emerge that spread rapidly into the population and frequently reach pandemic proportions causing significant human and economic costs. Computational epidemiology, as an interd
Numerical Model of Street Morphogensis – MoNuMoVI
The project is to build a numerical model for the street development during urban growth. Urban growth is a very complex subject, implying numerous effects from different fields (including human), with an increasing size of data, but we want to catch it from the street aspect. Streets are indeed an
COllaboration, CLassification, Incrementality and Knowledge – Coclico
The Coclico project aims to develop automatic or semi-automatic methods, tailored to the complexity and rapid evolution of large masses of multi-source spatiotemporal data, relying on advanced methods from data mining and the machine learning for the analysis and monitoring of complex phenomena. It
High dimensional statistical signal processing – DIONISOS
Large random matrices have been proved to be of fundamental importance in mathematics (high dimensional probability and statistics, operator algebras, combinatorics, number theory,...) and in physics (nuclear physics, quantum fields theory, quantum chaos,..) for a long time. The introduction of larg
Generalzed Interfaces and non intrusive Coupling: R&D software embedded into industrial software for computational analysis of non linear structures – ICARE
Though existing numerical technologies may already afford the coupling of different models, they still remain penalizing in terms of operability; exchanging data between a variety of different objects results in severe requirements when designing: one should anticipate a topological description that
COMputing Platform for Adaptive optics SystemS : a high-performance heterogeneous platform for the development of the E-ELT adaptive optics – COMPASS
The European Southern Observatory is leading the design phases for the European-Extremely Large Telescope (E-ELT), a 39m diameter telescope, to provide Europe with the biggest eye on the universe ever built, with a first light foreseen in 2022. The E-ELT will be the first telescope that will entire