Thomas Proffen Distinguished R&D Staff Contact 865.576.8633 | TPROFFEN@ORNL.GOV All Publications Integrated edge-to-exascale workflow for real-time steering in neutron scattering experiments An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry Resolving local ordering and structure in MnxGe1−xTe alloys through thermodynamic ensembles of pair distribution functions... Quantum magnetism in the frustrated square lattice oxyhalides YbBi2IO4 and YbBi2ClO4 A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis... Multifunctional Cu2TSiS4 (T = Mn and Fe): Polar Semiconducting Antiferromagnets with Nonlinear Optical Properties Second Target Station Computer Science and Math Workshop Report Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Co-design Center for Exascale Machine Learning Technologies (ExaLearn) Review: Principles of Neutron Scattering from Condensed Matter Lattice Disorder and Oxygen Migration Pathways in Pyrochlore and Defect-Fluorite Oxides Machine Learning for Neutron Scattering at ORNL Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach Exact and fast calculation of the X-ray pair distribution function Cross-Cutting Software Solutions in Support of Experimental Analysis Challenges at National Scattering Facilities Learning to Predict Material Structure from Neutron Scattering Data Retarder effect on hydrating oil well cements investigated using in situ neutron/X-ray pair distribution function analysis Precise implications for real-space pair distribution function modeling of effects intrinsic to modern time-of-flight neutron diffractometers An automated analysis workflow for optimization of force-field parameters using neutron scattering data An automated analysis workflow for optimization of force-field parameters using neutron scattering data PANORAMA: An Approach to Performance Modeling and Diagnosis of Extreme Scale Workflows Immersive Visual Analytics for Transformative Neutron Scattering Science... Molecular dynamics force-field refinement against quasi elastic neutron scattering data Reprobing the mechanism of negative thermal expansion in siliceous faujasite... Immersive Visualization for Materials Science Data Analysis using the Oculus Rift... Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations Diffraction Section Powder Diffraction Group User Facilities
