To further probe biofilm dynamics, the team tested engineered surfaces with nanoscale ridges — features thousands of times ...

From the world of research papers and cubicles, Kevin Roccapriore has made a leap into the entrepreneurial arena with ...

Besides its own research, ORNL leads two major collaborations in quantum computing and technology. The first, the Quantum ...

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 ...

Random numbers often serve as the backbone for many security solutions in diverse domains such as cryptography, side channel leakage prevention, and moving target defense. However, generating true ...

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 ...

Ming Fan is a research scientist in the Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL). His research focuses on the intersection of machine learning, surrogate ...

Dr. Qian Gong is a computer scientist at Oak Ridge National Laboratory. She received her Ph.D. degree in Electrical and Computer Engineering from Duke University in 2017, and M.S. degree in Electrical ...

Tushar Athawale is a Research Scientist in Computer Science and Mathematics Division of the Oak Ridge National Laboratory and a member of the visualization group led by Dr. Dave Pugmire. He holds the ...

Dr. Tomonori Saito is a synthetic polymer chemist, who has extensive experience in the synthesis of well-defined polymers via living/controlled polymerization as well as post-modification of various ...

I am the group leader of Data Analysis and Machine Learning Group. I am the data analytics lead for the SciDAC DOE institute FASTMath. My research interests lie in large vision models (LVMs), machine ...

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 ...