Rick K Archibald Applied Mathematician Contact archibaldrk@ornl.gov | 865.576.5761 All Publications Nuclear Forensics Analysis with Missing and Uncertain Data... Big-deep-smart data in imaging for guiding materials design... Image Reconstruction from Under sampled Fourier Data Using the Polynomial Annihilation Transform... Accelerated Application Development: The ORNL Titan Experience... Accelerating Time Integration for Climate Modeling Using GPUs... An Adaptive Fourier Filter for Relaxing Time Stepping Constraints for Explicit Solvers... Big Data and Deep data in scanning and electron microscopies: functionality from multidimensional data sets... Analysis and Feature Detection in Large Volumes of Diffuse X-ray and Neutron Scattering from Complex Materials Accelerated Application Development: The ORNL Titan Experience Image Reconstruction from Fourier Data Using Sparsity of Edges Polynomial Annihilation Sparsifying Transform... Stochastic Parameterization to Represent Variability and Extremes in Climate Modeling... Emulation to simulate low resolution atmospheric data... Error estimation in high dimensional space for stochastic collocation methods on arbitrary sparse samples... Error estimation in high dimensional space for stochastic collocation methods on arbitrary sparse samples... Resilient, Communication-Reducing, and Adaptive Time Stepping to Accelerate Exascale Scientic Applications... Exascale Scientific Time Evolving Applications... Structural Damage Detection using the Polynomial Annihilation Edge Detection Method... On the Use of the Polynomial Annihilation Edge Detection for Locating Cracks in Beam-Like Structures... Characterizing the elements of Earth’s radiative budget: Applying uncertainty quantification to the CESM... The Path to Accelerating the Community Atmospheric Model Spectral Element Dynamical Core on Hybrid Multi-Core Systems... Anomalous Discharge Product Distribution in Lithium-Air Cathodes: A Three Dimensional View ... Approximation and error estimation in high dimensional space for stochastic collocation methods on arbitrary sparse samples... 1. On the Use of the Polynomial Annihilation Edge Detection for Locating Cracks in Beam-Like Structures... Extending adaptive sparse grids for stochastic collocation to hybrid parallel architectures... CHARACTERIZATION OF DISCONTINUITIES IN HIGH-DIMENSIONAL STOCHASTIC PROBLEMS ON ADAPTIVE SPARSE GRIDS... Pagination First page « First Previous page ‹‹ … Page 2 Current page 3 Page 4 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID Division Homepage Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Data Analysis and Machine Learning Group