As machine learning tools gain momentum, a review of machine learning projects reveals these tools are already in use throughout nuclear physics.
As machine learning tools gain momentum, a review of machine learning projects reveals these tools are already in use throughout nuclear physics.
An Early Career awardee wants to automate the most vexing aspects of traditional scientific software development for supercomputers.
Researchers develop the first 2D telecommunication-compatible quantum light source, smoothing the path toward a quantum internet.
Argonne computer scientist works on power and processor efficiency while diversifying the workforce.
Long predicted by theory with support from supercomputers, this combination of neutrons advances nuclear physics
Quantum technique accelerates identification of entangled materials.
At Los Alamos, novel container software is accelerating innovative science while ensuring supercomputer reliability and uptime.
Scientists develop a new learning method that incorporates quantum chemistry descriptions with conventional machine learning to predict the properties of biochemical molecules.
Neural networks determine the amplitude and phase of X-ray pulses, enabling new, high-resolution quantum studies.
A Berkeley Lab-led research team has demonstrated an ultrathin silicon nanowire that conducts heat 150% more efficiently than conventional materials used in advanced chip technologies. The device could enable smaller, faster, energy-efficient microelectronics.