Marshall McDonnell Research Software Engineer Contact MCDONNELLMT@ORNL.GOV All Publications Interpretable machine learning models classify minerals via spectroscopy... Report on the "Symposium on Advancements in Simulating Neutron Scattering Instruments and Experiments" Automation for Grid Interconnected Laboratory Emulation Shaping the Future of Self-Driving Autonomous Laboratories Workshop... Privacy Preserving Federated Learning for Advanced Scientific Ecosystems Privacy Preserving Federated Learning for Advanced Scientific Ecosystems A Microservices Architecture Toolkit for Interconnected Science Ecosystems Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins Integrating High-Performance Computing with Electron Microscopy for Scientific Insights Raman spectroscopic investigation of selected natural uranyl sulfate minerals Atomic and Electronic Structure in MgO–SiO2 Best practices for documenting a scientific Python project CURIES: Compendium of uranium Raman and infrared experimental spectra Leveraging Single-Page Applications for Seamless Scientific Workflows: DevSecOps Considerations Enabling Interconnected Science Workflows through an Adapter Approach Research Software Engineering at Oak Ridge National Laboratory... Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data Towards a Software Development Framework for Interconnected Science Ecosystems In situ inelastic neutron scattering of mixed CH4–CO2 hydrates drtsans: The data reduction toolkit for small-angle neutron scattering at Oak Ridge National Laboratory Structural analyses of amorphous calcium carbonate before and after removing strontium ions from an aqueous solution Intermolecular correlations of liquid and glassy CS2 studied by synchrotron radiation x-ray diffraction... Local structure analysis of low-temperature neutron pair distribution function coupled with molecular dynamics simulations of CH4 and CO2 hydrates from 2 to 210 K Research Software Engineering Efforts for DataFlow: FY2021 Developments Research Software Engineering Efforts for DataFed: FY2021 Developments Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Advanced Computing Systems Research Section Application Engineering Group
Research Highlight Discovery of Spectrographic Features in Uranium Compounds through Machine Learning
