Filter News
Area of Research
- Advanced Manufacturing (22)
- Biology and Environment (26)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Energy Science (93)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (1)
- Materials (54)
- Materials for Computing (8)
- National Security (16)
- Neutron Science (11)
- Nuclear Science and Technology (4)
- Supercomputing (23)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (142)
- (-) Chemical Sciences (84)
- (-) Machine Learning (67)
- Advanced Reactors (40)
- Artificial Intelligence (124)
- Big Data (77)
- Bioenergy (110)
- Biology (126)
- Biomedical (73)
- Biotechnology (37)
- Buildings (73)
- Clean Water (32)
- Composites (33)
- Computer Science (223)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (217)
- Exascale Computing (64)
- Fossil Energy (8)
- Frontier (62)
- Fusion (65)
- Grid (74)
- High-Performance Computing (128)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Materials (156)
- Materials Science (155)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- Nanotechnology (62)
- National Security (85)
- Neutron Science (169)
- Nuclear Energy (121)
- Partnerships (66)
- Physics (68)
- Polymers (34)
- Quantum Computing (52)
- Quantum Science (88)
- Security (30)
- Simulation (64)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (70)
- Transportation (102)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
1 - 10 of 277 Results
Researchers at Oak Ridge National Laboratory have developed a modeling method that uses machine learning to accurately simulate electric grid behavior while protecting proprietary equipment details. The approach overcomes a key barrier to accurate grid modeling, helping utilities plan for future demand and prevent blackouts.

Inspired by a visit to ORNL’s Manufacturing Demonstration Facility, Jonaaron Jones launched a career in additive manufacturing that led to founding Volunteer Aerospace and now leading Beehive Industries’ external parts business. Through close collaboration with MDF, Jones has helped drive innovation in defense, aviation and energy, while growing high-tech jobs and strengthening the U.S. manufacturing base.
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

During his first visit to Oak Ridge National Laboratory, Energy Secretary Chris Wright compared the urgency of the Lab’s World War II beginnings to today’s global race to lead in artificial intelligence, calling for a “Manhattan Project 2.”

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.

By editing the polymers of discarded plastics, ORNL chemists have found a way to generate new macromolecules with more valuable properties than those of the starting material.

P&G is using simulations on the ORNL Summit supercomputer to study how surfactants in cleaners cause eye irritation. By modeling the corneal epithelium, P&G aims to develop safer, concentrated cleaning products that meet performance and safety standards while supporting sustainability goals.

Benjamin Manard, a nuclear analytical chemist at ORNL, has been named the 2025 winner of the Emerging Leader in Atomic Spectroscopy Award from Spectroscopy magazine.

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.