Predicting Magnetic Behavior in Copper Oxide Superconductors
New theoretical techniques predict experimental observations in superconducting materials.
New theoretical techniques predict experimental observations in superconducting materials.
Modeling experiments assess impacts of key melting behavior.
An optimized nuclear force model yields a high-precision interaction with an unexpected descriptive power.
The optimization of commercial hardware and specialized software enables cost-effective supercomputing.
A boosted frame of reference boosts the speed of calculations.
Predicted materials could economically produce high-purity methane from natural gas systems and separate methane from coal mine ventilation systems.
Advances in how we calculate optical properties of semiconductors shorten the path to improved solar cells and other optoelectronic devices.
Charge-discharge chemistry for lithium ion batteries elucidated by theoretical calculations.
Simulating the evolution of the universe on the Argonne Leadership Computing Facility’s IBM Blue Gene/Q.
The Advanced Networking Initiative testbed is allowing researchers to develop radical new technologies for the next generation Internet.
Researchers use Oak Ridge Leadership Computing Facility to accelerate drug discovery.
Squeezing creates new class of material built from clusters of carbon atoms.