Rick K Archibald Applied Mathematician Contact archibaldrk@ornl.gov | 865.576.5761 All Publications Reconstruction of effective potential from statistical analysis of dynamic trajectories... Artificial Intelligence Design of Nuclear Systems Empowered by Advanced Manufacturing... Classifying and analyzing small-angle scattering data using weighted k nearest neighbors machine learning techniques... Super-resolution energy spectra from neutron direct-geometry spectrometers... Artificial Intelligence Design of Nuclear Systems... A direct filter method for parameter estimation... BraggNet: integrating Bragg peaks using neural networks... Volumetric Segmentation via Neural Networks Improves Neutron Crystallography Data Analysis... Sparsity-based photoacoustic image reconstruction with a linear array transducer and direct measurement of the forward model... Gaussian process based optimization of molecular geometries using statistically sampled energy surfaces from quantum Monte Ca... Improving the accuracy and resolution of neutron crystallographic data by three-dimensional profile fitting of Bragg peaks in... Total variation-based neutron computed tomography... An Effective Online Data Monitoring and Saving Strategy for Large-Scale Climate Simulations... Performance Analysis of Fully Explicit and Fully Implicit Solvers Within a Spectral Element Shallow-water Atmosphere Model Model-based Iterative Reconstruction for Neutron Laminography... Exascale Data Analytics for the DOE... Recovery guarantees for compressed sensing with unknown errors... Complex Optimization for Big Computational and Experimental Neutron Datasets... Big, deep, and smart data in scanning probe microscopy... Distortion Correction in Scanning Transmission Electron Microcopy with Controllable Scanning Pathways... BEAM: A computational workflow system for managing and modeling material characterization data in HPC environments... Dynamic scan control in STEM: Spiral scans... Hierarchical optimization for neutron scattering problems... BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments Evaluating the Relationship between the Population Trends, Prices, Heat Waves, and the Demands of Energy Consumption in Citie... Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Page 3 … 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