Bio
Dr. DeWitt’s research lies at the intersection of high-performance computing and materials science. His research centers on the development and usage of scalable simulation software for heterogeneous computer architectures (i.e. GPUs) to understand the multiscale response of materials to complex processing conditions, such as during additive manufacturing. Dr. DeWitt has particular expertise in the use of phase-field models to predict the phase transformations that drive microstructure evolution in metal alloys. He is interested in combining simulation methods with machine learning, uncertainty quantification, optimization, data assimilation, and materials informatics to approach materials research in new ways.
Appointments
2022 - Present: R&D Staff, Computational Sciences and Engineering Division, 91°µÍø
2019 - 2022: R&D Associate Staff, Computational Sciences and Engineering Division, 91°µÍø
2017 - 2019: Assistant Research Scientist (Research Faculty), Dept. of Materials Science and Engineering, University of Michigan
2015 - 2017: Research Investigator (Research Faculty), Dept. of Materials Science and Engineering, University of Michigan
Education
PhD: Applied Physics, University of Michigan, 2015
MS: Applied Physics, University of Michigan, 2011
BSE: Engineering Physics, University of Michigan, 2009
Simulation Software
MEUMAPPS:
adamantine:
Tusas:
Thermo4PFM:
AMPE:
PRISMS-PF:
Awards
Best Team Science Award, ORNL Laboratory Directed Research and Development Poster Fair, 2023
Finalist, ORNL Your Science in a Nutshell Competition, 2020