Updated software improves slicing for large-format 3D printing
Filter News
Area of Research
- (-) Supercomputing (43)
- Advanced Manufacturing (11)
- Biology and Environment (38)
- Clean Energy (75)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotopes (2)
- Materials (60)
- Materials for Computing (17)
- National Security (12)
- Neutron Science (23)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Artificial Intelligence (15)
- (-) Bioenergy (5)
- (-) Frontier (11)
- (-) Materials Science (15)
- Big Data (11)
- Biology (7)
- Biomedical (13)
- Buildings (4)
- Chemical Sciences (4)
- Climate Change (8)
- Computer Science (54)
- Coronavirus (13)
- Critical Materials (1)
- Cybersecurity (4)
- Decarbonization (3)
- Energy Storage (6)
- Environment (13)
- Exascale Computing (8)
- Fusion (1)
- Grid (4)
- High-Performance Computing (20)
- Isotopes (1)
- Machine Learning (10)
- Materials (10)
- Mathematics (1)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (5)
- Neutron Science (11)
- Nuclear Energy (1)
- Partnerships (1)
- Physics (4)
- Polymers (1)
- Quantum Computing (12)
- Quantum Science (15)
- Security (3)
- Simulation (5)
- Space Exploration (1)
- Summit (25)
- Sustainable Energy (7)
- Transportation (3)
Media Contacts
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
An international team of researchers has discovered the hydrogen atoms in a metal hydride material are much more tightly spaced than had been predicted for decades — a feature that could possibly facilitate superconductivity at or near room temperature and pressure.
Scientists at have experimentally demonstrated a novel cryogenic, or low temperature, memory cell circuit design based on coupled arrays of Josephson junctions, a technology that may be faster and more energy efficient than existing memory devices.