Diagrammatic Monte Carlo for real materials
ORAL
Abstract
We present a systematic method for reaching beyond the GW approximation by Diagrammatic Monte Carlo (DiagMC) for first-principle simulations of real materials. DiagMC is used to provide an efficient estimation of higher-order self-energy and polarisability diagrams to achieve a controlled solution for ab initio Hamiltonians.
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Presenters
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Sam Azadi
Physics, King's College London
Authors
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Sam Azadi
Physics, King's College London
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Arkadiy Davydov
Physics, University of Zurich
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Evgeny Kozik
Department of Physics, King's College London, Physics, King's College London, Kings Coll, King's College London