In a new study published in Physical Review Letters, a team of researchers from U.S. universities and national laboratories has set stringent limits on the existence and mass of sterile neutrinos.
On the left is an artistic depiction of a twisted double layer forming a moiré pattern created by overlapping 2D sheets; each layer’s structure is shown separately on the right. Credit: Sumner ...
A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of ...
Hybrid computing has the potential to solve some of the most pressing challenges facing American industries, and ORNL is excited to bring its deep expertise to the partnership in the electric grid, ...
By combining AI with molecular dynamics simulations, researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a new tool to more accurately predict how plants and helpful ...
The Department of Energy’s Oak Ridge National Laboratory is beginning a four-year collaboration exploring the use of high-performance computing (HPC) to drive innovation around nonequilibrium quantum ...
A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of ...
Dr. Lianhong Gu is a Distinguished Scientist and Task Leader in the Environmental Sciences Division, Oak Ridge National Laboratory, USA. Dr. Gu has a B.S. in Physics from Jiangsu Normal University ...
A new patent granted to ORNL researchers redefines how nuclear systems are validated, offering a faster path to next-generation nuclear energy. By using machine learning to identify high-value ...
Feiyi Wang received his Ph.D. in Computer Engineering from North Carolina State University (NCSU). Prior joining the Oak Ridge National Laboratory, he was a principal research scientist at ...
Myna: Connecting Powder Bed Fusion Build Data to Simulation Tools for Digital Twin ApplicationsJournal: Computational Materials Science ...
Andrey Podlesnyak is an instrument scientist on the CNCS instrument, SNS, ORNL. His current scientific interests are in the field of condensed matter physics, quantum materials, frustrated and ...