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by metal nanoparticles, cell survival and radioresistance. The MS-RADAM research programme combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations
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nanoparticles, cell survival and radioresistance. The MS-RADAM research programme combines state-of-the-artc omputational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics
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Center for Scientific Research, France) experiments. DC10 - Objectives: Use DFT, stochastic sampling, and Machine Learning acceleration to model reaction mechanisms and enantioselectivity of chiral
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to materials science, and formulate research hypotheses that can be benchmarked through physical experiments or computational simulations. The project is funded by the Research Council of Norway and is a