A team of researchers from Argonne National Laboratory has devised a new approach that significantly reduces the computational cost of x-ray ptychography, while maintaining high resolution.
In a recent article in Significance magazine, researchers addressed some of the factors affecting energy demands, with a particular focus on the role of statistics in energy forecasting.
Computation has become an essential part of scientific research. Yet numerous questions remain about the role of the research software engineer (RSE) in that research.
The ever-increasing volume of scientific data necessitates new approaches to compress the data enough to fit simulation and experiment user constraints in terms of storage space, I/O speed, memory size.
Researchers from Argonne National Laboratory, the University of Chicago and the Riken Center for Computational Science, Japan, have now developed a tool that expresses code by abstractions that minimize code duplication.
As winter snowstorms, high winds and freezing temperatures caused myriad power outages throughout the United States in late December 2022, an obvious question was raised: Why can’t the energy grid handle such emergencies?
Simulation has become a key part of scientific discovery – complementing experiment, helping guide engineering designs and providing insight into complex problems infeasible in the lab.
Wind farms are increasingly gaining attention as an alternative energy source. But the wakes generated by the wind turbines lead to energy losses, significantly degrading the efficiency of wind power plants.
