As demand for clean energy increases, experts at Argonne are helping drive innovation with decision makers.

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.

Ongoing research will help make it easier for power system operators and major regulatory bodies to understand the impact of distributed energy resources.

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.

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.

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

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 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 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.