Richard K Archibald Applied Mathematician Contact archibaldrk@ornl.gov | 865.576.5761 All Publications Haar-Like Wavelets on Hierarchical Trees Best practices for documenting a scientific Python project On the advantages of radial variation in assembly design for a nuclear reactor core MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring... Leveraging Single-Page Applications for Seamless Scientific Workflows: DevSecOps Considerations 2022 Review of Data-Driven Plasma Science Towards a Software Development Framework for Interconnected Science Ecosystems Adaptive Generation of Training Data for ML Reduced Model Creation Strain-Induced asymmetry and on-site dynamics of silicon defects in graphene... Kernel learning backward SDE filter for data assimilation... A dictionary learning algorithm for compression and reconstruction of streaming data in preset order... A backward SDE method for uncertainty quantification in deep learning... Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression... Sas-temper: Software for Fitting Small-Angle Scattering Data that Provides Automated Reproducibility Characterization... Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition... AI-based design of a nuclear reactor core Artificial Intelligence for Multiphysics Nuclear Design Optimization with Additive Manufacturing Machine learning for neutron reflectometry data analysis of two-layer thin films... In Situ Compression Artifact Removal in Scientific Data Using Deep Transfer Learning and Experience Replay... Probing potential energy landscapes via electron-beam-induced single atom dynamics... Machine Learning for Neutron Scattering at ORNL... Thermal-Hydraulic Analyses to Support TCR Optimization An Efficient Numerical Algorithm for Solving Data Driven Feedback Control Problems... AI Optimization of the Reactor Unit Cell to Support TCR Optimization... A Stochastic Gradient Descent Approach for Stochastic Optimal Control... Pagination Current page 1 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
