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immobilisation, metal-organic frameworks (MOFs), that are porous crystalline hybrid solids, have been identified as promising supports for the immobilisation of several enzyme families — leading to catalytic
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key elements to answer the question of the causes of changes in ozone trends throughout the troposphere. This will involve exploring regional and vertical differences to better understand the dominant
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regimes; and machine learning, capturing complex nonlinear behaviour at the cost of model opacity. BENEFIT synthesises these paradigms by integrating stability analysis directly into machine learning
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influence of pulsed or continuous currents on PPBs during flash sintering. Finite Element modeling using the Abaqus software and a multiphysics framework will be employed to quantify the processes occurring
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systems (LIED, Université Paris Cité), experts in classical atomistic simulations (molecular dynamics and coarse-graining, LMCE, CEA/DAM/DIF), as well as specialists in continuum simulations (finite element
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to monitoring scientific progress and defining short-term objectives. More informal discussions will also take place as needed, particularly during intensive phases of numerical development or data analysis
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possibilities for automating the analysis of comic book pages, linking elements together, and generating narration scripts. The EnACA Project aims to develop a toolchain ranging from the automatic analysis
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shaping will be central to the study. The numerical model will be based on the boundary element method (BEM) and semi-analytical approaches developed at I2M. The experimental proof-of-concept will leverage
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spintronics team in charge of developing terahertz emitters and field-effect transistors based on two-dimensional (2D) materials such as transition metal dichalcogenides. He will work within the Spintec
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structure and cross sections at the Z frontier of the periodic table is one of the key questions currently being addressed by the scientific community. The existence of the heaviest superheavy elements (SHE