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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
computational efficiency without compromising numerical accuracy. In particular, since HDG methods rely on high-order polynomial approximations, special attention will be given to optimizing quadrature strategies
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described. From a technological perspective, optimizing radiative cavities is critical to improving the performance of TPV subsystems. Efficient cavity designs must maximize useful photon flux reaching
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combined approach using numerical modeling and environmental metrology Key words: simulation, modeling, partial differential equations, hydraulics, inverse problem, sediment transport, peri-urban catchment
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yield under both optimal growth conditions and water deficit. The project will also investigate carbon fluxes within the plant, which constitute a key determinant of plant performance and yield quality
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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific
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The Modelling & Theory Group (GMT) at SPEC is seeking a permanent researcher in the area of condensed matter theory, with a focus on numerical methods in nano- to mesoscopic quantum physics. Job
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processes at the Large Hadron Collider, such as forward particle production in proton–nucleus collisions. A dedicated numerical framework will be developed to confront theoretical predictions with
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
The spectacular development of space systems and sensors, for observing the Earth and other Planets, provides access to numerous geophysical, geochemical and biophysical parameters over vast areas with increasingly
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-dimensional plasmonic metasurfaces. The goal is to disentangle hot-carrier and thermal contributions and optimize metasurface designs for site-selective hot-carrier generation with minimal heating. The work
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is to understand and optimize PPA properties using a simulation strategy that spans from the molecular scale (ab initio calculations) to continuum approaches, thereby accounting for the different