Robert Hettich: Decoding biological complexity with next-gen mass spectrometry
Researchers from ORNL have developed a new application to increase efficiency in memory systems for high performance computing. Rather than allow data to bog down traditional memory systems in supercomputers and impact performance, the team from ORNL, along with researchers from the University of Tennessee, Knoxville, created a framework to manage data more efficiently with memory systems that employ more complex structures.
Massimiliano (Max) Lupo Pasini, an R&D data scientist from ORNL, was awarded the National Energy Research Scientific Computing Center’s High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in “Groundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.”
Researchers at the Department of Energy’s Oak Ridge National Laboratory are using non-weather data from the nationwide weather radar network to understand how to track non-meteorological events moving through the air for better emergency response.
An effort to gather environmental data related to the energy efficiency of buildings through weatherization technologies will be conducted in a joint project that includes Oak Ridge National Laboratory's Building Technologies, Research and Integration Center. ORNL engineer Andre Desjarlais says his ...
For the first time, farmers have data that tracks at the county level on-site and off-site energy use and carbon dioxide emissions associated with growing crops in the United States. This information is vital for examining changes in cropland production and management techniques and could play an...
Assistance to Navistar in developing a new lightweight truck bumper that can save gasoline without compromising safety is being performed by a materials process team headed by Gail Ludtka of Oak Ridge National Laboratory's Materials Science and Technology Division. Characterizing and analyzing data ...