In a report published in Small, researchers introduce ​“ingrained”, an automated framework for the fusion of atomic-resolution materials imaging simulations into the experimental images to which they correspond.

In a report published in PNAS, researchers report on a newly developed laser-pumped X-ray nanodiffraction imaging capability with 25 nm and 100 ps resolutions.

Argonne is co-leading efforts to increase U.S. competitiveness in manufacturing fuel cells that can power everything from cars to buildings.

For a study published in ACS Energy Letters, researchers elucidated the pathway for photon upconversion in a perovskite/rubrene bilayer.

For a study published in Patterns, researchers developed a predictive framework for zinc blende semiconductors and impurity atoms from across the periodic table.

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.