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is looking for a PhD Student (f/m/d) - Electrochemical swing adsorption of carbon dioxide. Your tasks Performing quantum mechanical and ML-based simulations to determine CO2 adsorption energies
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simulations in order to interpret the fundamental origin of observations. The activity of this position is mainly dedicated to optical activity studies in the Molecular Spectroscopy Group (GSM) with N. Daugey
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workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT
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–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python
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& Responsibilities Perform large-scale electronic structure and atomistic simulations (DFT, AIMD, NEB) to study ion mobility in aluminosilicate and oxide frameworks. Generate datasets linking structure, environment
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metal dichaocogenides (TMDs) model the phononic bands of the host material with e.g. density functional theory (DFT) calculate the effect of a strain field on the electronic bands and the phonon modes
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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of oxygenates from CO and/or CO2, and mechanistic studies including operando spectroscopy and possibly numerical simulations (microkinetics, DFT). The objective is to discover new eco-efficient catalytic phases
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-Performance Computing Advanced Know-How in the fields of HPC Scientific Domain Expertise: While the position is open to various backgrounds, proven expertise in molecular simulation and density functional