Gerald Tuskan is the Director of the Department of Energy (DOE) Center for Bioenergy Innovation at Oak Ridge National Laboratory (ORNL), a 17-institution effort focused on accelerating the ...

John Sanseverino is the deputy project director for the Material Plasma Exposure eXperiment (MPEX). He is matrixed to MPEX from ORNL's Project Management Office. Dr. Sanseverino joined ORNL in the ...

Dr. Andrew T. Nelson is a distinguished staff scientist and section head of the Nuclear Fuel Development Section at Oak Ridge National Laboratory. He has held both group leader and team leader ...

Oak Ridge National Laboratory has a rich tradition of artificial intelligence (AI) research dating back more than four decades and garnering more than ten patents. The laboratory’s AI Initiative is ...

Senior R&D Staff (2019 - Present) , Physics Division, Oak Ridge National Laboratory Associate Professor (2019), Assistant Professor (2013 - 2019), Department of Physics & Astronomy, University of ...

Dr. Kashif Nawaz is a distinguished leader in the field of energy conversion science and technology. He earned his BSc in Mechanical Engineering from Ghulam Ishaq Khan Institute of Technology, ...

Not only did the Department of Energy’s Oak Ridge National Laboratory take home top honors at the 2024 International ...

Dr. Tirthankar Ghosal is a scientist at the Advanced AI Methods at Scale (AAIMS) group in the National Center for Computational Sciences, Oak Ridge National Laboratory. At ORNL he works on Natural ...

Ever since physicist Ernest Rutherford discovered the atomic nucleus in 1911, studying its structure and behavior has ...

Ammonium diuranate (ADU) is commonly encountered in the nuclear fuel cycle; however, previous investigations have shown that ADU is a complex mixture of distinct compounds. Moreover, production ...

In this work, we investigate the effects on microstructure, grain size, crystal structure, and stoichiometry when trace amounts of Fe in the form of Fe2O3 are added to UO2. Sintering of compacts with ...

Current AI-methods exhibit notable limitations, such as limited application in downscaling Global Climate Models (GCMs), and accurately representing extremes. To address these challenges, we implement ...