13 citations · 28 across the 6 of their papers we have counts for
8 papers
Accelerating phase-field simulations on exascale computing systems for faster-than-real-time precipitate aging predictions
Stephen DeWitt, David J. Gardner, Philip Fackler +4
Three-dimensional phase-field simulations are a gold-standard for microstructure prediction for materials, but their computational cost often limits application-relevant calculatio…
Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures
Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra +5
We perform a scaling and performance portability study of the particle-in-cell scheme for plasma physics applications through a set of mini-apps we name "Alpine", which can make us…
Stable Anderson Acceleration for Deep Learning
Massimiliano Lupo Pasini, Junqi Yin, Viktor Reshniak +1
Anderson acceleration (AA) is an extrapolation technique designed to speed-up fixed-point iterations like those arising from the iterative training of DL models. Training DL models…
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems
Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete +1
The exit time probability, which gives the likelihood that an initial condition leaves a prescribed region of the phase space of a dynamical system at, or before, a given time, is…
A sparse-grid probabilistic scheme for approximation of the runaway probability of electrons in fusion tokamak simulation
Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete +2
Runaway electrons (RE) generated during magnetic disruptions present a major threat to the safe operation of plasma nuclear fusion reactors. A critical aspect of understanding RE d…
A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions
Zack Morrow, Miroslav Stoyanov
We present a method for dimensionally adaptive sparse trigonometric interpolation of multidimensional periodic functions belonging to a smoothness class of finite order. This metho…
A Dynamically Adaptive Sparse Grid Method for Quasi-Optimal Interpolation of Multidimensional Analytic Functions
Miroslav K. Stoyanov, Clayton G. Webster
In this work we develop a dynamically adaptive sparse grids (SG) method for quasi-optimal interpolation of multidimensional analytic functions defined over a product of one dimensi…
Power-Law Noises over General Spatial Domains and on Non-Standard Meshes
Hans-Werner van Wyk, Max Gunzburger, John Burkardt +1
Power-law noises abound in nature and have been observed extensively in both time series and spatially varying environmental parameters. Although, recent years have seen the extens…