Argonne National Laboratory

Research Highlights

Room-temperature photodetectors with 2D metal halide perovskites for MIR detection

In a study published in Science Advances, researchers showed that two-dimensional metal halide perovskites can be used to detect mid-infrared light at room temperature, unlocking new possibilities for applications in night vision and thermal imaging.

Symmetry control of photoexcited quantum dots

In a study published in Advanced Materials, researchers restore symmetry to PbS quantum dots at ultrafast timescales, a key requirement for emerging quantum, solar and photonic systems.

Effective and durable catalysts using abundant materials for hydrogen production

In a study published in ACS Applied Nano Materials, researchers report a novel method to synthesize hybrid 2D FeS/FeS2 nanostructures, a promising low-cost catalyst for next-generation hydrogen production.

Additional Research Highlights

Ultrafast electron microscopy sheds light on plasmonic dynamics in metallic nanoframes

In an JACS Nano paper, researchers used ultrafast electron microscopy to study the dynamics of plasmon-enhanced localized fields in metallic nanoframes.

Enabling preparation of previously inaccessible semiconductor nanocrystals

In a Science paper, researchers report synthesizing III-V semiconductor nanocrystals with possible applications in displays, lasers, photodetectors, and more.

Atomistic mechanism in transforming graphite into diamond

In a study published in Carbon, researchers uncover the nucleation-growth mechanism behind direct graphite-to-diamond transformation, revealing new ways to synthesize hexagonal diamond that could be used for quantum information applications.

New AI-enabled microscopy images nanoscale magnetic spin textures

In a study published in npj Computational Materials, researchers enable quantitative imaging of nanoscale magnetic spin textures from any single defocused image using AI-based phase-retrieval, allowing near real-time quantitative magnetic imaging.

New design for cathode particles yields ultra-stable cathodes

In a study published in Nature Energy, researchers develop a dual-gradient” design for NMC cathodes that enables high-voltage operation, with minimal capacity loss during cycling, reduced cost, and improved thermal stability.

Leveraging AI for improved X-ray photon correlation spectroscopy

In a study published in Nature Communications, researchers develop an AI-based approach, AI-NERD, to classify a colloidal glass’s relaxation dynamics without prior knowledge of the material, highlighting potential for autonomous materials discovery.