Brad's machine learning work published in Scientific Reports

Brad Feiger's study applying a combined machine learning/design of experiments approach to studying flow in coarcted aortas is published in Scientific Reports.  This work titled 'Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks' was part of a large collaborative effort with Dana-Farber Cancer Intitute, Brigham and Women's Hospital, Arizona State, LLNL, and ORNL.