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electrocatalysis: The research involves the application and development of ab initio methods, molecular dynamics and kinetic Monte Carlo simulations to model electrocatalytic oxidation and reduction reactions
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab initio quantum chemistry to understand and predict structure and reactivity in the ground and electronic
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finite-temperature anharmonic effects, thereby expanding the existing ab initio thermodynamic database to support the Bayesian inversion framework of the SHARP Thematic Project (Task 21, WP3). The project
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position within a Research Infrastructure? No Offer Description Activities: The post-doctoral fellow will be responsible for: i) Interfacing an ab initio database with MAGEMin and BurnMan for the lower
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at understanding chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab initio quantum chemistry to understand and predict structure and reactivity in the ground and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
, Fortrant, etc.) intermediate/advanced programming skills, experience in materials modeling (experience in transport theories and ab initio methods would be a strong advantage). We offer: work in a promising
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; previous experience as local contact at synchrotron XAS beamlines; knowledge of advance characterization techniques like XANES simulation and ab initio calculations (e.g. DFT). Good time management skills
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Technologien (IWT), Thyssenkrupp Steel Europe AG, Oulun Yliopisto and Ovako Sweden AB, to connect modelling insights with process development and alloy design Contribute to scientific publications, conference
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and machine-learning potentials for planetary materials. Curating and generating large-scale ab initio datasets across wide pressureâ“temperature regimes. Designing and training advanced machine