
Oak Ridge National Laboratory researchers developed an invertible neural network (INN) to effectively and efficiently solve earth-system model calibration and simulation problems.
Oak Ridge National Laboratory researchers developed an invertible neural network (INN) to effectively and efficiently solve earth-system model calibration and simulation problems.
Two US Department of Energy (DOE) National Laboratories were recently awarded the 2018 Association for Computing Machinery’s (ACM’s) Gordon Bell Prize for work done on the Oak Ridge Leadership Computing Facility’s (OLCF’s) Summit supercomputer, the most
Researchers at the US Department of Energy’s Oak Ridge National Laboratory broke the exascale barrier, achieving a peak throughput of 1.88 exaops—faster than any previously reported science application—while analyzing genomic data on the recently launch
A cross-disciplinary research team at Oak Ridge National Laboratory is using supercomputing to create an unprecedented view of the 3D interactions among components of the cellular machinery in Populus trichocarpa (black cottonwood)
A numerical weather forecasting model (WRF) was used to simulate 120 storms over the Alabama-Coosa-Tallapoosa (ACT) river basin to explore the effect of climate change on probable maximum precipitation (PMP).