Research Highlights

In a study published in ACS Nano, researchers developed a machine learning powered framework combining multimodal spectroscopy and simulations to characterize atomic-scale defects in battery materials, for applications in energy storage technologies.

In a study published in Nature Materials, researchers showed the first optically driven Higgs mode in 2D halide perovskites, revealing how light-induced phonon dynamics transiently stabilize a tetragonal phase for advanced optoelectronic applications.

In a study published in npj Computational Materials, researchers showed that nitrogen-vacancy centers in diamond (a leading solid-state qubit platform) are energetically attracted to dislocations and retain or improve their quantum properties.

In a study published in Nature Chemical Engineering, researchers used an adaptive AI-guided robotic framework to reveal how molecular packing governs mixed ionic-electronic transport in electronic polymers.

Using artificial intelligence to study bird, insect, and wildlife interactions with human-made environments.

Twenty universities and two vehicle platforms will support next-generation innovation and the future auto-industry workforce

New streaming connection leads to quicker data processing between Argonne’s Advanced Photon Source and Argonne Leadership Computing Facility.

In a study published in Nature Materials, researchers built stretchable, high-performance OLEDs by innovating stretchable electron transport layers and cathodes, paving the way for high-efficiency, flexible displays in wearable and medical technologies.