John Coleman R&D Associate Contact . . | COLEMANJS@ORNL.GOV All Publications Sensitivity of Thermal Predictions to Uncertain Surface Tension Data in Laser Additive Manufacturing ExaCA v2.0: A versatile, scalable, and performance portable cellular automata application for additive manufacturing solidification On the numerical sensitivity of cellular automata grain structure predictions to large thermal gradients and cooling rates Improving Additive Manufactured Component Performance through Multi-Scale Microstructure Simulation and Process Optimization Influence of alloy solidification path on melt pool behavior in additive manufacturing A dynamic volumetric heat source model for laser additive manufacturing Preliminary Results on Process Modeling Tools for Determining Variability in Additively Manufactured Stainless Steel 316 Parts Understanding solidification of near eutectic alloy using Cellular Automata (CA)... Grain structure and texture selection regimes in metal powder bed fusion Grain Structure Evolution in Fe-6Si During Directed Energy Deposition Uncertainty Quantification of Metal Additive Manufacturing Processing Conditions Through the use of Exascale Computing... Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials Uncertainty quantification for computational modelling of laser powder bed fusion Assessment of Process Modeling Tools for Determining Variability in Additively Manufactured Parts Calibrating uncertain parameters in melt pool simulations of additive manufacturing... ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling Blackbox optimization for approximating high-fidelity heat transfer calculations in metal additive manufacturing Solidification dynamics in metal additive manufacturing: analysis of model assumptions Key Links Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Engineered Systems Section Computational Coupled Physics
