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Daniel Jacobson, distinguished research scientist in the Biosciences Division at ORNL, has been elected a Fellow of the American Institute for Medical and Biological Engineering, or AIMBE, for his achievements in computational biology.
Dave Weston studies how microorganisms influence plant health and stress tolerance, using the Advanced Plant Phenotyping Laboratory to accelerate research on plant-microbe interactions and develop resilient crops for advanced fuels, chemicals and
ORNL took part in the â1,000 Scientists AI Jam Session,â 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°”Íű, Energy Secretary Chris Wright compared the urgency of the Labâs World War II beginnings to todayâs global race to lead in artificial intelligence, calling for a âManhattan Project 2.â
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 labâs 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 Energyâs 91°”Íű 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 Centerâs High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in âGroundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.â
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 Stanford University, the European Center for Medium-Range Weather Forecasts, or ECMWF, and ORNL used the labâs Summit supercomputer to better understand atmospheric gravity waves, which influence significant weather patterns that are difficult to forecast.