509 citations · 3.2k across the 61 of their papers we have counts for
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Uncertainty Quantification for Optical Model Parameters
A. E. Lovell, F. M. Nunes, J. Sarich +1
Although uncertainty quantification has been making its way into nuclear theory, these methods have yet to be explored in the context of reaction theory. For example, it is well kn…
Doing Moore with Less -- Leapfrogging Moore's Law with Inexactness for Supercomputing
Sven Leyffer, Stefan M. Wild, Mike Fagan +4
Energy and power consumption are major limitations to continued scaling of computing systems. Inexactness, where the quality of the solution can be traded for energy savings, has b…
Origins and optimization of entanglement in plasmonically coupled quantum dots
Matthew Otten, Jeffrey Larson, Misun Min +3
A system of two or more quantum dots interacting with a dissipative plasmonic nanostructure is investigated in detail by using a cavity quantum electrodynamics approach with a mode…
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
Victor Picheny, Robert B. Gramacy, Stefan M. Wild +1
An augmented Lagrangian (AL) can convert a constrained optimization problem into a sequence of simpler (e.g., unconstrained) problems, which are then usually solved with local solv…
Chrono CDI: Coherent diffractive imaging of time-evolving samples
A. Ulvestad, A. Tripathi, S. O. Hruszkewycz +4
Bragg coherent x-ray diffractive imaging is a powerful technique for investigating dynamic nanoscale processes in nanoparticles immersed in reactive, realistic environments. Its te…