Researchers from ORNL, Cleveland Clinic and IBM demonstrated how quantum-centric supercomputing can model the complex chemistry of molten salts used in fusion reactors, helping solve a key challenge in producing tritium fuel.
Using the Frontier supercomputer at ORNL, researchers from the Georgia Institute of Technology have performed the largest direct numerical simulation of turbulence in three dimensions, attaining a record resolution of 35 trillion grid points.
Scientists at ORNL have created a new method that more than doubles computer processing speeds while using 75 percent less memory to analyze plant imaging data.
In a long-running collaboration with GE Aerospace, researchers at the University of Melbourne in Australia have been steadily working to improve the performance of high-pressure turbine engines
ORNL, NVIDIA, and HPE are partnering to integrate quantum computing, AI, and high-performance computing using NVIDIA NVQLink and CUDA-Q, establishing a hybrid testbed at ORNL to advance quantum–classical convergence and scientific discovery.
The results of a study conducted on the Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory offer the clearest portrait so far of how some galaxies regulate the energy produced by supermassive black holes at their cores.
The nuclear reactions that fuel the sun could soon be harnessed to generate electricity on Earth — with help from supercomputers at ORNL.
A study by researchers at ORNL traces a blueprint for a software architecture that would integrate emerging quantum computers with the world’s fastest supercomputing systems.
Quantum science is unlocking a new era of innovation, and Oak Ridge National Laboratory is leading the charge. In this Year of Quantum, ORNL is helping drive a global shift that’s turning once-theoretical science into practical solutions. From ultrasecure communication and advanced sensors to powerful new computers, ORNL’s research is fueling progress in energy, national security and American competitiveness.
More than a year ago, ORNL computational scientists raised concerns about the accuracy of using a 2-femtosecond time step in liquid water simulations.