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the study of nucleation mechanisms, the analysis of out-of-equilibrium energy and thermodynamic balances, and the validation of results by comparison with experimental data and atomistic simulations
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. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by
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atomistic simulation methods, such as molecular dynamics, density functional theory, and machine-learning force fields, to elucidate the deformation mechanisms activated by external stimuli. The candidate
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molecular dynamics simulations, applicable to materials science, biomolecules, or a related field. Programming experience (e.g., Python), with a strong background in developing and applying computational
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) with DFT atomistic simulations to investigate the electronic structure and defect states in wide bandgap semiconductor nanomaterials. The goal is to better understand and optimize function
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will focus on the atomistic simulation of mineral oxide/liquid water interfaces that are of relevance to solar fuel production, decontamination of soil and geochemical transformations. The simulations
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
Temporary contract | 14 + 22 + 14 months | Belvaux Are you fascinated by data-driven atomistic simulations for materials science? So are we! Come and join us. We seek a highly motivated and capable
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different types of simulations at different scales. For the atomic level, you will use atomistic molecular dynamics simulations, which are so expensive computationally that supercomputers are needed
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practices. Preferred Knowledge, Skills, and Abilities: You have experience with electronic-structure or atomistic simulation workflows (e.g., VASP, Quantum ESPRESSO) and associated Python tools such as ASE
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The Section Fundamental