In a study published in Nature Communications, researchers report a reinforcement learning-based algorithm for developing molecular models that predict potential energy surfaces of elemental nanoclusters and bulk systems.

For a study published in Science, researchers developed and tested a perovskite nickelate with which computer chips can be designed to reconfigure their circuits when presented with new information.

In a paper published in Nanoscale, researchers report characterizing hot electrons (above the bandgap) by ultrafast optical spectroscopy of optically excited colloidal quantum wells.

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.

Argonne researchers are helping to lower the cost and increase the efficiency of pumping hydrogen at refueling stations.

H2@Scale is a vision to enable affordable, large-scale hydrogen production, storage, distribution, and utilization to advance decarbonization efforts.

Today’s computers are providing enormous power, enabling scientists to tackle complex problems previously considered intractable.

The final workshop report for the 2021 Randomized Algorithms for Scientific Computing (RASC) workshop has been released.

In a study published in Solar Energy Materials and Solar Cells, researchers report that loss mechanisms in grain boundaries of the photovoltaic material CdTe can be reduced by use of select dopants.

In a study published in Nature Communications, researchers theoretically demonstrate formation of space-time crystals in a high-critical temperature superconductor due to its ability to intrinsically form Josephson junction analogs.