![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
News Type
News Topics
- (-) Artificial Intelligence (7)
- (-) Clean Water (2)
- (-) Computer Science (5)
- (-) Isotopes (3)
- 3-D Printing/Advanced Manufacturing (2)
- Big Data (6)
- Bioenergy (2)
- Biology (2)
- Biomedical (2)
- Biotechnology (1)
- Buildings (5)
- Chemical Sciences (7)
- Climate Change (8)
- Composites (2)
- Critical Materials (3)
- Decarbonization (6)
- Energy Storage (5)
- Environment (7)
- Fusion (1)
- Grid (1)
- High-Performance Computing (5)
- ITER (1)
- Machine Learning (3)
- Materials (5)
- Materials Science (3)
- Microelectronics (1)
- National Security (2)
- Net Zero (1)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (3)
- Physics (1)
- Polymers (2)
- Quantum Computing (1)
- Simulation (4)
- Statistics (2)
- Sustainable Energy (4)
- Transportation (5)
Media Contacts
![New system combines human, artificial intelligence to improve experimentation](/sites/default/files/styles/list_page_thumbnail/public/2024-02/Screenshot%202024-02-14%20at%2011.37.46%20AM%20%281%29.png?h=e621a1e2&itok=N3lsBqrh)
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
![Moriano awarded early career fellowship for underrepresented groups](/sites/default/files/styles/list_page_thumbnail/public/2024-02/Pablo-Moriano-Pic.jpg?h=4d38fa4a&itok=QTrNiMK-)
Pablo Moriano, a research scientist in the Computer Science and Mathematics Division at ORNL, was selected as a member of the 2024 Class of MGB-SIAM Early Career Fellows.
![: ORNL climate modeling expertise contributed to an AI-backed model that assesses global emissions of ammonia from croplands now and in a warmer future, while identifying mitigation strategies. This map highlights croplands around the world. Credit: U.S. Geological Survey](/sites/default/files/styles/list_page_thumbnail/public/2024-02/global_croplands_usgs_globe-4g_1.png?h=4016a495&itok=rb8eHyvK)
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
![ORNL Associate Laboratory Director for Computing and Computational Sciences. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-01/tourassi.jpg?h=55be468c&itok=AvEfpuPK)
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.