Robert Hettich: Decoding biological complexity with next-gen mass spectrometry
Filter News
Area of Research
News Topics
- (-) Exascale Computing (64)
- (-) Fossil Energy (8)
- 3-D Printing/Advanced Manufacturing (142)
- Advanced Reactors (40)
- Artificial Intelligence (124)
- Big Data (77)
- Bioenergy (108)
- Biology (124)
- Biomedical (72)
- Biotechnology (35)
- Buildings (73)
- Chemical Sciences (84)
- 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)
- Frontier (62)
- Fusion (65)
- Grid (73)
- High-Performance Computing (128)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (66)
- 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 (51)
- Quantum Science (87)
- Security (30)
- Simulation (64)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (70)
- Transportation (102)
Media Contacts

Oak Ridge National Laboratory experts are playing leading roles in the recently established Department of Energy’s (DOE’s) Exascale Computing Project (ECP), a multi-lab initiative responsible for developing the strategy, aligning the resources, and conducting the R&D necessary to achieve the nation’s imperative of delivering exascale computing by 2021.

The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.