Stephen DeWitt

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, Oak Ridge National Laboratory

2019 - 2022:  R&D Associate Staff, Computational Sciences and Engineering Division, Oak Ridge National Laboratory

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: https://code.ornl.gov/meumapps/meumapps

adamantine: https://github.com/adamantine-sim/adamantine

Tusas: https://github.com/chrisknewman/tusas

Thermo4PFM: https://github.com/ORNL/Thermo4PFM

AMPE: https://github.com/LLNL/AMPE

PRISMS-PF: https://prisms-center.github.io/phaseField

Awards

Best Team Science Award, ORNL Laboratory Directed Research and Development Poster Fair, 2023

Finalist, ORNL Your Science in a Nutshell Competition, 2020

Publications