An efficient long-time integrator for Chandrasekhar equations. - Jeff Borggaard; Miroslav Stoyanov (CDC, 2008)

Linear feedback control of a von Kármán street by cylinder rotation. - Jeff Borggaard; Miroslav Stoyanov; Lizette Zietsman (ACC, 2010)

Power-Law Noises over General Spatial Domains and on Nonstandard Meshes. - Hans-Werner van Wyk; Max D. Gunzburger; John Burkhardt; Miroslav Stoyanov (SIAM/ASA J. Uncertain. Quantification, 2015)

Numerical Analysis of Fixed Point Algorithms in the Presence of Hardware Faults. - Miroslav Stoyanov; Clayton G. Webster (SIAM J. Sci. Comput., 2015)

A dynamically adaptive sparse grids method for quasi-optimal interpolation of multidimensional functions. - Miroslav Stoyanov; Clayton G. Webster (Comput. Math. Appl., 2016)

A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions. - Zachary Morrow; Miroslav Stoyanov (SIAM J. Sci. Comput., 2020)

Accelerating Multi - Process Communication for Parallel 3-D FFT. - Alan Ayala; Stan Tomov; Miroslav Stoyanov; Azzam Haidar; Jack J. Dongarra (ExaMPI@SC, 2021)

A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms. - Daniel Sharp; Miroslav Stoyanov; Stanimire Tomov; Jack J. Dongarra (HPEC, 2021)

Scalability Issues in FFT Computation. - Alan Ayala; Stanimire Tomov; Miroslav Stoyanov; Jack J. Dongarra (PaCT, 2021)

Stable Anderson Acceleration for Deep Learning. - Massimiliano Lupo Pasini; Junqi Yin; Viktor Reshniak; Miroslav Stoyanov (CoRR, 2021)

A Feynman-Kac based numerical method for the exit time probability of a class of transport problems. - Minglei Yang 005; Guannan Zhang; Diego del-Castillo-Negrete; Miroslav Stoyanov (J. Comput. Phys., 2021)

Performance Analysis of Parallel FFT on Large Multi-GPU Systems. - Alan Ayala; Stan Tomov; Miroslav Stoyanov; Azzam Haidar; Jack J. Dongarra (IPDPS Workshops, 2022)

ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing. - Sriramkrishnan Muralikrishnan; Matthias Frey; Alessandro Vinciguerra; Michael Ligotino; Antoine J. Cerfon; Miroslav Stoyanov; Rahulkumar Gayatri; Andreas Adelmann (CoRR, 2022)

Data-driven surrogate modeling of hPIC ion energy-angle distributions for high-dimensional sensitivity analysis of plasma parameters' uncertainty. - Pablo Seleson; Mohammad Mustafa; Davide Curreli; Cory D. Hauck; Miroslav Stoyanov; David E. Bernholdt (Comput. Phys. Commun., 2022)

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; Michael Ligotino; Antoine J. Cerfon; Miroslav Stoyanov; Rahulkumar Gayatri; Andreas Adelmann (PP, 2024)

Sparse-grid discontinuous Galerkin methods for the Vlasov-Poisson-Lenard-Bernstein model. - Stefan Schnake; Coleman Kendrick; Eirik Endeve; Miroslav Stoyanov; Steven E. Hahn; Cory D. Hauck; David L. Green; Phil Snyder; John Canik (J. Comput. Phys., 2024)

ASGarD: Adaptive Sparse Grid Discretization. - Steven E. Hahn; Miroslav Stoyanov; Stefan Schnake; Eirik Endeve; David L. Green; Mark R. Cianciosa; Eduardo F. D'Azevedo; Wael R. Elwasif; Coleman Kendrick; Hao Lau; M. Graham Lopez; Adam McDaniel; et al. (J. Open Source Softw., 2024)