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.
New lattice simulations compute the spin and density correlations in neutron matter that affect neutrino heating during core-collapse supernovae.
Researchers open a new avenue for future brain-inspired computer hardware.
Robotic stacking of 2D layers provides the atomically clean interfaces critical for high performance assembled materials.
By examining tiny fragments from one of our nearest cosmic neighbors, scientists uncovered more about the history of our solar system.
Ultrafast X-ray experiments provide direct evidence that interaction of light with a hydrocarbon molecule produces strained molecular rings.
Solving quantum many-body problems with wavefunction matching.
Layers of a surface-conducting material, sandwiched between layers of a magnetic insulator, could lead to more powerful, energy-efficient electronics.
Electron transfer between atomically thin materials triggers the ultrafast release of heat.
Scientists chart a path to sub-femtosecond hard X-ray Free-Electron-Laser pulses powered by compact plasma-based accelerators.
The Facility for Rare Isotope Beams opens a new research avenue and observes three new rare isotopes.
Scientists discover that superconductivity in copper-based materials is linked with fluctuations of ordered electric charge and mobility of vortex matter.