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To further probe biofilm dynamics, the team tested engineered surfaces with nanoscale ridges — features thousands of times thinner than a human hair. They found that specific patterns could disrupt ...
Analysis of three sodium-cooled fast microreactors (SFMs) with thermal powers of 10, 30, and 50 MWt showed that smaller reactors result in lower radiological consequences during a postulated ...
OAK RIDGE, Tenn., June 8, 2018—The U.S. Department of Energy’s Oak Ridge National Laboratory today unveiled Summit as the world’s most powerful and smartest scientific supercomputer. With a peak ...
Research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2021 R&D 100 Awards, plus special recognition for a COVID-19-related project.
Changwoo Do received a Ph.D. in Nuclear and Quantum Engineering from Korea Advanced Institute of Science and Technology, South Korea, in 2009 for research on neutron and x-ray scattering ...
Bio Dr. Amir Koushyar Ziabari is a senior R&D staff scientist at the Oak Ridge National Laboratory (ORNL), within the Electrification and Energy Infrastructure Division's Multimodal Sensor Analytics ...
Vyacheslav “Slava” Bryantsev was born and grew up in the Donbass region of eastern Ukraine. After he completed his undergraduate and master education from Donetsk National University in 1999, he ...
Dr. Swarnava Ghosh is a Computational Scientist in the Advanced Computing for Chemistry and Materials Group at the National Center for Computational Sciences (NCCS), Oak Ridge National Laboratory ...
ORNL is home to the nation’s most comprehensive materials research program and is a world leader in research that supports the development of advanced materials for energy generation, storage, and use ...
Dr. Zhao obtained a Ph.D. in Agricultural, Biosystems and Mechanical Engineering from South Dakota State University, a M.S. in Materials Science, and a B.S. in Mechanical Engineering. After obtaining ...
The CORSAIR framework enhances the classification and understanding of human mobility by moving beyond traditional trajectory-based models. It addresses the challenge of accurately characterizing ...
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