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Media Tip: Argonne researchers crack a key problem with sodium-ion batteries for electric vehicles and grid energy storage

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December 03, 2024

Argonne scientist elected as Fellow of the American Physical Society

Argonne scientist recognized with prestigious fellowship.

November 13, 2024

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.

October 29, 2024

Argonne builds on past success with cathode design for lithium-ion batteries

A breakthrough “dual-gradient” design for the battery’s cathode substantially increases energy storage capacity, stability and lifetime while reducing costs. It could accelerate widespread adoption of electric vehicles and grid batteries.

October 29, 2024

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.

October 29, 2024

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.

October 29, 2024

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.

October 29, 2024

Data-driven approach to extract dynamics from coherent X-ray data

In a study published in npj Computational Materials, researchers used machine learning to develop a data-driven platform that models previously inaccessible complex, real-space dynamics from time-resolved coherent X-ray scattering.

October 28, 2024

Material stimulated by light pulses could be leap toward more energy-efficient supercomputing

Researchers have revealed an adaptive response with a ferroelectric device, which responds to light pulses in a way that resembles the plasticity of neural networks. This behavior could find application in energy-efficient microelectronics.

October 16, 2024

New light-induced material shows powerful potential for quantum applications

A class of material called perovskites, which have special electronic bonding with many applications, could be useful for quantum sensing.

October 14, 2024

A quantum material could be the future of high-energy X-ray imaging and particle detection

Discover how quantum shells might change the game for high-resolution and ultrafast scintillator imaging with many applications.

October 09, 2024

Reducing electronic waste with biodegradable luminescent polymers

As shown in a Nature Sustainability paper, researchers have created a luminescent polymer that is both depolymerizable and recyclable.

September 27, 2024

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