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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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they cannot intercalate into commonly used anode materials like graphite. This project aims to investigate the atomic level sodium storage mechanism in hard carbon via combined experiment and atomistic
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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combining: Molecular synthesis Electrical contacting of nanoscale electronics Modelling of properties on an atomistic level The IHRS NanoNet offers an international scientific environment and an excellent
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will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
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quantum systems, collaborating with top-tier researchers in chemical synthesis, analytical method development, and atomistic simulations. Located in the Zurich Area, the Swiss Federal Laboratories