20 citations · 66 across the 10 of their papers we have counts for
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physics.comp-ph2018★ 8 cited
Smart energy models for atomistic simulations using a DFT-driven multifidelity approach
Luca Messina, Alessio Quaglino, Alexandra Goryaeva +5
The reliability of atomistic simulations depends on the quality of the underlying energy models providing the source of physical information, for instance for the calculation of mi…
math.NA2018★ 14 cited
High-dimensional and higher-order multifidelity Monte Carlo estimators
Alessio Quaglino, Simone Pezzuto, Rolf Krause
Multifidelity Monte Carlo methods rely on a hierarchy of possibly less accurate but statistically correlated simplified or reduced models, in order to accelerate the estimation of…