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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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expertise in methods such as machine-learning force-fields for spinful materials, or multi-fidelity Bayesian models that can learn machine-learning force-fields along with effective spin Hamiltonians from ab
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of computational and theoretical chemistry. Research will involve the modeling of molecular materials based on model and ab-initio calculations. Projects will include, but are not limited to, and the topological
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