Rick Archibald Applied Mathematician Contact ARCHIBALDRK@ORNL.GOV All Publications Streaming Compression of Scientific Data via Weak-SINDy Lifting MGARD: Construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order... Privacy Preserving Federated Learning for Advanced Scientific Ecosystems Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control... Privacy Preserving Federated Learning for Advanced Scientific Ecosystems A Framework for Compressing Unstructured Scientific Data via Serialization StOKeDMD: Streaming Occupation kernel dynamic mode decomposition Kernelized approaches to streaming compression of scientific data Kernelized approaches to streaming compression of scientific data... Convergence Analysis for an Online Data-Driven Feedback Control Algorithm... Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks Haar-Like Wavelets on Hierarchical Trees MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring Leveraging Single-Page Applications for Seamless Scientific Workflows: DevSecOps Considerations Best practices for documenting a scientific Python project Enabling Interconnected Science Workflows through an Adapter Approach On the advantages of radial variation in assembly design for a nuclear reactor core 2022 Review of Data-Driven Plasma Science Towards a Software Development Framework for Interconnected Science Ecosystems Improving Predictions Under Uncertainty of Material Plasma Device Operations Adaptive Generation of Training Data for ML Reduced Model Creation Strain-Induced asymmetry and on-site dynamics of silicon defects in graphene Strain-Induced asymmetry and on-site dynamics of silicon defects in graphene A dictionary learning algorithm for compression and reconstruction of streaming data in preset order Kernel learning backward SDE filter for data assimilation Pagination Current page 1 Page 2 Page 3 … Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Data Analysis and Machine Learning Group
