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biophysics/chemistry/physics and related fields Experience with Molecular Dynamics using coarse grained or atomistic models Advantage is experience with simulations of disordered proteins/polymers and
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) Requirements for candidate: MSc in computational biophysics/chemistry/physics and related fields Experience with Molecular Dynamics using coarse grained or atomistic models Advantage is experience with
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of residuals at the atomic scale and how they interact with other alloy additions, with migrating and transforming boundaries. This grant will bring together atomistic modelling (at Imperial College), atomic
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and Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group
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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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, particularly machine-learned interatomic potentials, in the context of chemical research. Knowledge of atomistic and coarse-grained classical force fields. Experience creating and maintaining scientific software
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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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vibrations), and structural (migration of atoms) effects with an atomistic resolution. This can be achieved by self-consistently coupling molecular dynamics (MD), density-functional theory (DFT), and quantum
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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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effects on the particle and sub-particle level into hierarchical pseudo-2D descriptions of batteries Link continuum descriptions to quantum computing accelerated atomistic approaches in an interdisciplinary