Argonne National Laboratory

06/01/2026

: Real-time data analysis is transforming how science gets done at Argonne's Advanced Photon Source (APS) - https://bit.ly/4tjYtGv

Researchers no longer have to wait for data processing to catch up with their experiments. The upgraded APS now connects directly with supercomputers at the Argonne Leadership Computing Facility, so massive datasets get processed as they're generated.

What this means in practice...
✅ Experiments adjusted on the fly
✅ Short-lived phenomena captured in the moment
✅ Beam time used more efficiently than ever

As science grows more data-intensive, this kind of real-time insight is critical for accelerating discovery in materials science, energy research, and beyond.

05/30/2026

What will it take to power the next era of computing? Researchers at Argonne are developing advanced microelectronics technologies that could make future AI systems, sensors, and high-performance computers faster and more energy efficient.

Through two major research initiatives, Argonne and its partners across national labs, universities, and industry are advancing next-generation memory architectures and chip designs to tackle some of computing’s biggest challenges. The work could help strengthen AI, accelerate discovery, and improve emerging technologies across industries.

For more information on this and other Argonne collaborations, check out our annual Partnerships and Outreach Report - https://bit.ly/4pJMbFr

05/30/2026

Meet Jung Ho Kim, a physicist at Argonne's Advanced Photon Source who is mastering a powerful technique called RIXS—resonant inelastic X-ray scattering. In plain terms? It lets scientists see what materials are made of at the smallest scale - https://bit.ly/4wO74TX

Kim's work helps researchers around the world understand how metals and other materials behave. That knowledge powers breakthroughs in superconductors, magnets, better batteries, and quantum computers.

Kim continuously advances the RIXS technique by improving its energy resolution and developing new measurement capabilities. This work helps scientists study electron, spin, and orbital dynamics with unprecedented detail.

Physicist Jung Ho Kim uses resonant inelastic X‑ray scattering (RIXS) at the Advanced Photon Source to probe deeper into the behavior of quantum particles, facilitating discovery and making quantum visible.

05/29/2026

From machine learning and quantum simulations to materials science and dark matter modeling, Argonne interns are contributing to research that advances discovery across disciplines.

At this year’s “Learning in the Lobby” symposium, undergraduate researchers shared the projects they worked on during their internships and connected with scientists, mentors, and staff from across the laboratory.

The event highlighted more than technical research. It reflected the collaboration, mentorship, and hands-on learning that help shape the next generation of STEM professionals.

Thank you to the mentors, co-mentors, and teams who continue to support student researchers and create opportunities for learning across the laboratory community.

At Argonne, learning happens everywhere — including the lobby.

05/28/2026

ICYMI: The Argonne Leadership Computing Facility just launched a first-of-its-kind AI inference service for open science! ⬇️

05/28/2026

Addressing emerging biological threats requires faster, more adaptive approaches to discovery. In the next installment of our autonomous discovery video series, we highlight Argonne’s RAPID-350: Autonomous Lab for Bio-Active Factors.

As one of Argonne’s Robotic Autonomous Platforms for Innovative Discovery (RAPID) labs, RAPID-350 leverages large language models and high-performance computing resources to simulate and test promising antimicrobial peptides, a potential alternative to traditional antibiotics. By combining AI-driven modeling with scalable computational power, the platform enables rapid screening of bioactive compounds and helps identify candidates with the greatest potential.

This approach accelerates early-stage discovery, reduces reliance on trial-and-error experimentation and opens new pathways for tackling antimicrobial resistance.

Watch how RAPID-350 is expanding the frontiers of autonomous discovery in biotechnology. Explore more in our YouTube playlist - https://bit.ly/4wJshyh

05/27/2026

It’s been three years since Argonne’s last Open House and registration is now open - https://bit.ly/49i39ox

On Saturday, June 27, bring your family and friends to Argonne National Laboratory for a day filled with hands-on activities, interactive demonstrations, facility tours, and opportunities to meet the people behind some of today’s most exciting scientific discoveries.

Whether you're exploring the science behind artificial intelligence, discovering how researchers study our universe, or getting an up-close look at the tools used to make breakthrough discoveries possible, there will be something for visitors of all ages.

Most importantly, is a chance to spark the imagination, ask questions, explore new ideas, and create memories together.

Admission is free, registration is first come, first served, and registration is required.

Reserve your spot today - https://bit.ly/49i39ox

05/26/2026

Good news for the scientific user community: Argonne Leadership Computing Facility’s new Inference Service helps close the gap between building AI models and actually putting them to work for science – https://bit.ly/4uyBxnp

By offering shared, large-scale inference as a service, we're giving researchers a more direct way to apply AI to simulations, experiments, and data-intensive workflows without having to stand up and manage their own infrastructure. The ALCF Inference Service is already supporting teams working on the U.S. Department of Energy’s Genesis Mission—a national initiative to build the world's most powerful scientific platform for accelerated discovery, national security, and energy innovation.

05/25/2026

Materials fatigue over time just like we do, leading to costly failures in everything from phones to spacecraft. Researchers at Argonne are part of a multi-lab team using AI to study how tiny cracks at the nanoscale can heal themselves, with the goal of designing stronger, longer-lasting materials - https://bit.ly/4uUFBhy

Through a project called MIRAGE (Microstructure Insights through Reliable/Interpretable AI and Guided Experiments), Argonne is collaborating with Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Sandia National Labs and University of Southern California to combine AI-guided experiments with materials science research. The work could help extend the life of infrastructure and reduce material failures.

Argonne National Laboratory and partners explore how AI can understand mechanical fatigue, leading to better, more resilient materials for aerospace, manufacturing and more.