Qubits, bit by bit
Scientists simulate quantum properties in a widely used semiconductor material.
Scientists simulate quantum properties in a widely used semiconductor material.
The method shows promise for detailed exploration of novel materials, including quantum materials.
An Oak Ridge-led team identifies a promising so-called entanglement witnesses to identify pairs of entangled magnetic particles.
A Berkeley Lab team applies new approach with three other techniques to obtain reliable results on an IBM Q quantum system.
Researchers using the Summit supercomputer find some answers to a basic biological question.
Lithium vanadium oxide, with its disordered rock salt atomic structure, may reduce some of the inherent problems that slow down the charging of lithium-ion-battery-powered devices.
Physicists draw from Oak Ridge’s Summit supercomputer to train personal computers to calculate atomic nuclei properties in about an hour.
Princeton researchers apply deep learning to a new code, Fusion Recurrent Neural Network (FRNN), to forecast events that disrupt fusion reactions.
A PNNL team reconstructs a global monthly water withdrawal data for a four-decade period.
Supercomputer simulations and theoretical analysis shed new light on when and how fast reconnection occurs.