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-field code, written in the Cuda C language and parallelized on a single GPU (Graphical Processor Unit). A parallelization on multiple GPUs would be a welcome development during the thesis. Where to apply
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efficiency Optical neuromorphic computing is emerging as a promising alternative to classical electronic architectures, offering advantages in terms of speed, energy consumption, and parallelism. Nonlinear
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mechanisms such as decohesion, accelerated diffusion, and interfacial responses under rapid thermal cycling. In parallel with the numerical approaches carried out at the ICB laboratory, partners of the ANR
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infancy at low x. In parallel, the project addresses gluon saturation, a striking phenomenon expected to arise at very high collision energies. In this regime, hadrons are dominated by a dense system of low
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of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative
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engagement. In parallel, a new docking software, MDSPACEdock, will be developed to enable rapid docking of potential ligands across the full conformational ensemble obtained by MDSPACE, rather than a single
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of absorbed light energy effectively converted into mechanical work. In parallel, the influence of the local polymer environment (the “photomorphon”) on photoswitch performance will be investigated using non
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massively parallel FFT-based simulation platform for polycrystalline plasticity, enabling efficient simulation of the mechanical response of realistic 3D microstructures. These simulations will be used
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massively parallel FFT-based simulation platform for polycrystalline plasticity, enabling efficient simulation of the mechanical response of realistic 3D microstructures. These simulations will be used
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the