Quantum precision reached in modeling molten salt behavior
ORNL took part in the ā1,000 Scientists AI Jam Session,ā a first-of-its-kind virtual event that brought together leading scientists from nine national laboratories to test generative artificial intelligence models for their functionality in scientific research.
During his first visit to 91°µĶų, Energy Secretary Chris Wright compared the urgency of the Labās World War II beginnings to todayās global race to lead in artificial intelligence, calling for a āManhattan Project 2.ā
A workshop led by scientists at ORNL sketched a road map toward a longtime goal: development of autonomous, or self-driving, next-generation research laboratories.
Not only did ORNL take home top honors at the 2024 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24), but the labās computing staff also shared career advice and expertise with students eager to enter the world of supercomputing.
In a major milestone for cancer research, the Department of Energyās 91°µĶų helped reduce the time between cancer diagnosis and pathology report processing from 22 months to just 14 months, utilizing advanced artificial
Massimiliano (Max) Lupo Pasini, an R&D data scientist from ORNL, was awarded the National Energy Research Scientific Computing Centerās High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in āGroundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.ā
Phong Le is a computational hydrologist at ORNL who is putting his skills in hydrology, numerical modeling, machine learning and high-performance computing to work quantifying water-related risks for humans and the environment.
Researchers at ORNL are using microwave radar reflection to nondestructively detect and measure the moisture content of materials within walls without removing drywall or cladding. This also expedites the moisture identification process and enables mold growth to be treated in the early stages.
ORNL, as a partner in the DOEās Stor4Build Consortium, is co-leading research with several national laboratories to develop thermal energy storage to complement electrical battery storage and recently hosted a two-day workshop focused on advancing these technologies.
FREDA is a new tool being developed at ORNL that will accelerate the design and testing of next-generation fusion devices. It is the first tool of its kind to combine plasma and engineering modeling capabilities and utilize high performance computing resources.