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

New method for cathode preparation prevents the particle cracking that caused performance decline with cycling of sodium-ion batteries, which offer a cheaper, more abundant alternative to lithium-ion batteries.

Ability to track nanoscale flow in soft matter could prove pivotal discovery

Scientists developed a novel technique using X-ray photon correlation spectroscopy to study soft matter at the nanoscale. This method enables precise determination of the flow behavior of nanoparticles in soft matter exposed to an external stimulus.

Pursuing the middle path to scientific discovery

Scientists have made significant strides in understanding the properties of a ferroelectric material under an electric field. This breakthrough holds potential for advances in computer memory, lasers and sensors for ultraprecise measurements.

Three Argonne postdocs invited to prestigious meeting of Nobel laureates

Three Argonne postdoc scientists have been invited to the prestigious Nobel Laureate Meetings in Lindau, Germany, where they will meet with past Nobel Prize winners in their fields.

Unlocking the mystery behind the performance decline in a promising cathode material

Researchers at the Argonne National Laboratory have discovered the main reason why and how one of the more promising new cathode materials degrades with repeated cycling of lithium-ion batteries. The team’s new analysis method was key to the discovery.

Argonne hosts See Yourself in STEAM event for students from groups underrepresented in STEM

Students from groups underrepresented in STEM discover world-class science, technology, engineering, arts and mathematics at Argonne through See Yourself in STEAM event.

Using artificial intelligence, Argonne scientists develop self-driving microscopy technique

Argonne researchers have tapped into the power of AI to create a new form of autonomous microscopy.

Nina Andrejevic creates better tools to quickly characterize materials

Understanding big datasets requires better analytical models, says the Maria Goeppert Mayer Fellow.

Scientists discover unusual ultrafast motion in layered magnetic materials

A team of researchers report a mechanical response across a layered magnetic material tied to changing its electron spin. This response could have important applications in nanodevices requiring ultra-precise and fast motion control.

Speaking my language: Robert Winarski’s background helps him coordinate beamline installation for the Advanced Photon Source Upgrade

With the year-long shutdown underway, the Advanced Photon Source Upgrade project is in the midst of building seven new beamlines, constructing the infrastructure for two more, and updating several more existing beamlines. Robert Winarski is coordinating all of this work, and his background as a scientist who has constructed beamlines is key to his success.

How Argonne is pushing the boundaries of quantum technology research

With its Department of Energy National Quantum Information Science Research Center (Q-NEXT) and its quantum research team, Argonne is a hub for research that could change the way we process and transmit information.

Sixbert Muhoza studies a new class of materials that could help fight climate change

A scholar in Argonne’s Applied Materials Division, Sixbert Muhoza is studying a new class of materials called MXenes that could improve batteries and help convert carbon dioxide to fuel.

Scientists turn single molecule clockwise or counterclockwise on demand

Argonne scientists report they can precisely rotate a single molecule on demand. The key ingredient is a single atom of europium, a rare earth element. It rests at the center of a complex of other atoms and gives the molecule many practical applications.

Entrepreneurship program at Argonne National Laboratory opens applications for startups

Chain Reaction Innovations, the entrepreneurship program at Argonne National Laboratory, is accepting applications for its next fellowship cohort.

Scientists use machine learning to accelerate materials discovery

Scientists at Argonne National Laboratory have recently demonstrated an automated process for identifying and exploring promising new materials by combining machine learning (ML) and high performance computing.

New cathode design solves major barrier to better lithium-ion batteries

New method for preparing cathode materials eliminates stumbling block to better lithium-ion batteries. New structure for cathode particles could lead to new generation of longer-lasting and safer batteries able to power vehicles for longer driving ranges.

Machine learning program for games inspires development of groundbreaking scientific tool

Scientists have developed a groundbreaking AI-based algorithm for modeling the properties of materials at the atomic and molecular scale. It should greatly speed up materials discovery.

Editors of MIT Technology Review name Argonne’s Jie Xu as a 2021 Innovator Under 35

The editors of MIT Technology Review have chosen Argonne’s Jie Xu as an Innovator Under 35 for 2021. She is one of only 35 innovators under the age of 35 named to this list. She is being recognized for her research on printable skin-like electronics.

Sneak preview: New platform allows scientists to explore research environments virtually

The Department of Energy pledged $1.68 million to Argonne National Laboratory over three years so it can create a virtual platform or digital twin that will allow experimentalists to explore their proposed studies prior to visiting the labs.

Better together: Scientists discover far-reaching applications of nanoparticles made of multiple elements

As catalysts for fuel cells, batteries and processes for carbon dioxide reduction, alloy nanoparticles that are made up of five or more elements are shown to be more stable and durable than single-element nanoparticles.

Scientists discover ​“ripple” in flexible material that could improve electronic properties

Argonne scientists have discovered an intriguing new behavior in a two-dimensional material at the atomic level as it is stretched and strained, like it would be in an actual flexible device.