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.
Excess oxygen on the surface of the metal oxide catalyst copper oxide promotes hydrogen oxidation but suppresses carbon monoxide oxidation.
Particle lifetime measurements with early data from the Belle II experiment at the SuperKEKB accelerator demonstrate the experiment’s high precision.
Ultrafast electron imaging captures never-before-seen nuclear motions in hydrocarbon molecules excited by light.
A comparison of throughput measurements and analytical capacity estimates for quantum networks finds surprising patterns.
New lattice simulations compute the spin and density correlations in neutron matter that affect neutrino heating during core-collapse supernovae.
Copper catalysts play an unexpected oxidizing role during unassisted photocatalysis when coupled with plasmonic light absorbers.
Ultrafast electron scattering measurements reveal dynamic reconfiguration of polarization in relaxor ferroelectrics by light.
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.
Researchers leveraged advanced X-ray imaging for a nondestructive way to peer inside complex 3D nanomaterials with record resolution.
Nuclear theorists reveal mass distribution within the pion and the proton from first principle numerical calculations.