mace

Experience and QualificationsExperience with atomistic simulations & density functional theory (e.g. GPAW, VASP, ASE) Python programming skillsPreferably, experience with machine-learning interatomic potentials (e.g. MACE, NequIP, or similar)Preferably, knowledge of solid oxide cells, oxide materials, electrochemistry or catalysisPreferably, experience with...

Are you passionate about using atomistic simulations and machine learning to accelerate the green transition? Do you want to understand, atom by atom, why electrolysers degrade, and design materials that make them last longer? Do you have a background in computational chemistry, physics, materials science or chemical engineering? Then this PhD opportunity at...

Are you passionate about using atomistic simulations and machine learning to accelerate the green transition? Do you want to understand, atom by atom, why electrolysers degrade, and design materials that make them last longer? Do you have a background in computational chemistry, physics, materials science or chemical engineering? Then this PhD opportunity at...

DescriptionAre you passionate about using atomistic simulations and machine learning to accelerate the green transition? Do you want to understand, atom by atom, why electrolysers degrade, and design materials that make them last longer? Do you have a background in computational chemistry, physics, materials science or chemical engineering? Then this PhD...

Are you passionate about using atomistic simulations and machine learning to accelerate the green transition? Do you want to understand, atom by atom, why electrolysers degrade, and design materials that make them last longer? Do you have a background in computational chemistry, physics, materials science or chemical engineering? Then this PhD opportunity...