Dmitry Duplyakin is a data scientist working in the Data, Analysis, and Visualization Group within the Computational Science Center. Dmitry is currently applying his expertise in computing to NREL’s research projects. This includes working on renewable energy projects in such areas as distributed wind, geothermal, and design of new battery materials. Dmitry is also involved in the analysis of NREL’s high-performance computing facility, its usage, users, and applications. Dmitry enjoys participating in interdisciplinary and collaborative projects and helping them utilize the latest computational techniques and technologies.
Ph.D., Computer Science, University of Colorado
M.S., Computer Science, University of Colorado
B.S., Applied Math and Computer Science, Samara University (Russia)
Postdoctoral Scholar, School of Computing at the University of Utah
Using Machine Learning to Predict Future Temperature Outputs in Geothermal Systems, Geothermal Resources Council’s Annual Meeting (2020)
Which Geologic Characteristics Control Porosity and Permeability in Hydrothermal Reservoirs?, Geothermal Resources Council’s Annual Meeting (2020)