Nanoscience News
Nanoscience News
Eighty years — and counting — of scientific discovery at Argonne
Argonne celebrates its 80th anniversary on July 1.
Argonne Open House 2026: Science comes to life for visitors
More than 8,000 guests spent the day meeting researchers, visiting major research facilities and taking part in activities in AI, particle physics, materials, energy and more.
Achieving room-temperature supersolidity
In a study published in Nature Nanotechnology, researchers achieved room-temperature supersolidity by integrating perovskite crystals with nanograting photonics, paving the way for accessible quantum technologies and exotic quantum phase exploration.
Hybrid bio-semiconductor nanosheets for hydrogen peroxide production
In a study published in the Journal of the American Chemical Society, researchers created a hybrid material combining bio-membranes and semiconductor nanosheets, greatly boosting hydrogen peroxide production and chemical conversion efficiency.
Advancing nonlinear optics with high-entropy borates
In a study published in Advanced Functional Materials, researchers synthesized high-entropy rare-earth borate crystals with enhanced optical transparency, broadband luminescence, and superior nonlinear optical properties for next-gen UV laser systems.
After 80 years of research excellence, where does Argonne go next?
AI for discovery, world-leading X-ray science, supply chain analysis and next-generation energy technologies are among the lab’s key priorities today.
Scientists find an elusive vibration — a Higgs mode — changing a crystal’s symmetry
Waves of light and sound interact to drive electronic and structural change in a perovskite crystal.
Center for Nanoscale Materials Director's Update: June 2026
As we look ahead, I am excited about the opportunities to strengthen the Center for Nanoscale Materials’ capabilities, support scientific excellence and foster new ideas and partnerships.
Turbo-charging battery research with AI: An ambitious vision
Argonne researchers outline a comprehensive technical roadmap for the use of large language models in battery research.
Machine learning powered multimodal spectroscopy for advanced battery material characterization
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.
Optically driven phase transitions in 2D perovskites via Higgs mode
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.
Kelly Sturner helps build pathways to STEM for thousands of students
The experiences are geared toward sparking interest in STEM careers and inspiring the workforce of tomorrow.