most citedData-Driven Dynamical Mean-Field Theory: an error-correction approach to solve the quantum many-body problem using machine learning

16 citations · 16 across the 1 of their papers we have counts for

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1 paper

physics.comp-ph2021★ 16 cited

Data-Driven Dynamical Mean-Field Theory: an error-correction approach to solve the quantum many-body problem using machine learning

Evan Sheridan, Christopher Rhodes, Francois Jamet +2

Machine learning opens new avenues for modelling correlated materials. Quantum embedding approaches, such as the dynamical mean-field theory (DMFT), provide corrections to first-pr…