Controller with Integrated Machine Learning Tweaks Fusion Plasmas in Real Time
Integrating machine learning with real-time adaptive control produces high-performance plasmas without edge instabilities, a key for future fusion reactors.
Integrating machine learning with real-time adaptive control produces high-performance plasmas without edge instabilities, a key for future fusion reactors.
Neutron experiments revealed microscopic details about a special 3D-printed superalloy that could potentially reduce component costs.
Researchers design ultra-low radiation cables to reduce background noise for highly sensitive nuclear decay and dark matter detectors.
Scientists engineered a model bacterium's genetic code to make it virus-resistant and unable to exchange genetic material or grow without special media.
Three proteins work together to transmit signals for cell division, revealing new targets for cancer-fighting drugs.
Researchers worked out how to efficiently prepare wave functions for the lithium-6 nuclear ground state and implemented those on quantum hardware.
National laboratory researchers partner with a private company to achieve 100-million-degree temperatures inside a high magnetic field spherical tokamak.
Roughening of fusion reactor wall surfaces over time may significantly reduce erosion rate predictions
Neutron scattering monitors structures during post-production heat treatment to validate production models.
Discovery of a short-lived state could lead to faster and more energy-efficient computing devices.
Scientists map atomic-level changes in the components of a running internal combustion engine using neutron techniques.
Understanding platinum degradation could reduce waste and lower cost of a promising green technology, hydrogen fuel cells.