Argonne National Laboratory

Argonne researchers win three 2023 R&D 100 Awards

The awards program is colloquially referred to as the ​Oscars of Innovation”

Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory and partner organizations have been honored with three awards as part of the 2023 R&D 100 Awards, colloquially referred to as the ​Oscars of Innovation.” An additional Argonne project was named a finalist.

We are thrilled to see Argonne researchers and partners recognized by this prestigious awards program for their innovative work,” said Megan Clifford, Argonne’s associate laboratory director for science and technology partnerships and outreach. ​Argonne’s winning projects and those that were named finalists represent a wide range of cutting-edge science and engineering — from climate science to cancer research — that can have a profound impact on people and communities.”

Argonne has won 145 R&D 100 Awards since the competition began in 1963. Past winners also include Fortune 500 companies, other DOE national laboratories, academic institutions and smaller companies.

Argonne’s winning projects/technologies this year are:

CANDLE (CANcer Distributed Learning Environment) (Principal Investigator: Rick Stevens)

CANDLE is an artificial intelligence-based computer code that brings together machine learning, deep learning and cancer research to accelerate the discovery of new cancer therapies and treatments. This unique and powerful platform aims to solve three major challenges in cancer. First, it analyzes protein behaviors in tumor cells. Second, it looks at the relationship between tumors and drugs. Third, it can analyze biomedical records to extract new patterns and information. CANDLE was also used to research potential treatments for SARS-CoV-2.

In addition, scientists are using CANDLE codes to check the performance of the most advanced DOE computing systems, including Argonne’s upcoming Aurora exascale supercomputer.

CANDLE is designed in partnership with DOE and the National Cancer Institute.

This research was supported by the Exascale Computing Project, a collaborative effort of DOE’s Office of Science and the National Nuclear Security Administration.

Cardinal: Scalable High-Order Multi-Physics Simulation (Principal Investigator: April Novak)

Scientists and engineers rely on simulation to predict the behavior of nuclear reactors under a variety of design conditions. Often, experiments are too expensive to carry out or are incompatible with fast-turnaround design cycles. Science modeling and simulation is particularly important to the advancement of novel nuclear reactor designs and can enable critical insight for making better design decisions to increase efficiency and safety.

Cardinal is an open-source simulation software package that delivers highly accurate solutions for a wide range of applications in nuclear energy sciences. Cardinal features state-of-the-art, scalable algorithms for achieving multiphysics solutions with neutron transport, fluid flow, heat transfer and material behavior on platforms ranging from laptops to extreme-scale computers. The physical phenomena that can be simulated with Cardinal range from neutron interactions with matter on the atomic scale to the whole-system response of nuclear reactors coupled to electric grids on the kilometer scale.

Funding for Cardinal was provided by DOE’s Office of Nuclear Energy.

Climate Risk and Resilience Portal (ClimRR) (Principal Investigator: Carmella Burdi)

ClimRR is a free, web-based tool that gives emergency managers and community leaders access to localized data about future climate conditions and hazards. Climate projections and visualization at the neighborhood-level scale create opportunities for local decision makers to take informed action. This information is increasingly of interest to decision makers as the impacts of climate change become more frequent and intense.

Argonne developed ClimRR in a unique partnership with AT&T and the Federal Emergency Management Agency. To create ClimRR, Argonne first used the power of the Argonne Leadership Computing Facility, a DOE Office of Science user facility, to dynamically downscale data from three different global climate models, and then used that dataset as the basis for rendering more than 100 unique visualizations of climate impact variables over three different timeframes and according to two greenhouse gas emission scenarios. The data in ClimRR can be combined with data from the Resilience Analysis and Planning Tool to help users understand local-scale climate risks in the context of existing community demographics and infrastructure. For example, users can include locations of vulnerable populations and critical infrastructure.

ClimRR can be used to plan for and reduce heat emergency deaths or target assistance among those communities that are most vulnerable. Communities can use the tool to protect family farms and the future food security of millions of people. Decision makers can use ClimRR to help make infrastructure more resilient against increasingly extreme conditions. Also, decision makers can use the tool to help vulnerable local seasonal economies plan for change, and preserve the cultures, resources and lifeways of indigenous peoples.

AT&T originally commissioned Argonne’s Center for Climate Resilience and Decision Science to produce the climate projections in ClimRR for the company’s own adaptation efforts, but then sought to make that data publicly available.

In addition, another Argonne project/technology was named a finalist this year:

ActivO: A Machine Learning Driven Active Optimizer for Rapid Product Design Optimization (Principal Investigator: Pinaki Pal)

ActivO is an innovative software technology developed at Argonne that provides a unique turnkey solution to speed up product design optimization and massively accelerate virtual prototyping across a wide range of industries. Imagine designing a car engine or a wind turbine. You want it to work well and use less energy, but figuring out the best design can take a lot of time and money because of having to test many ideas and prototypes.

The secret to how ActivO accelerates the design process is a one-of-its-kind combination of: advanced ensemble machine learning (ML)-driven predictive surrogate models trained on simulation data; adaptive sampling of the design space via active learning for on-the-fly refinements of the ML surrogate models; and efficient algorithms for controlling the relative degree of local (exploitation) versus global (exploration) search of the design space during optimization — all within an automated, modular and scalable workflow. ActivO can be readily coupled with any simulation tool. It can also efficiently run on high performance computing clusters/supercomputers and cloud-based platforms, owing to its highly parallelizable and portable framework. The compact and end-to-end nature of ActivO enables easy adoption by engineers in industry, even those who do not have extensive ML expertise.

ActivO has wide applicability and ability to impact multiple industrial sectors, such as automotive, aerospace, chemical, iron and steel, oil and gas, carbon capture, and biomedical. Argonne has demonstrated the capability of ActivO to speed up design optimization of automotive engines by an order of magnitude — from months to a few days — compared with other contemporary commercial software tools. Companies like Dow Chemical are already leveraging it to optimize their products. By way of drastically accelerating design optimization campaigns, ActivO can shrink industry design cycles/costs and time-to-market for advanced products.

ActivO was developed under a Technology Commercialization Fund project funded by the Decarbonization of Off-road, Rail, Marine and Aviation program of DOE’s Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office.


The Argonne Leadership Computing Facility provides supercomputing capabilities to the scientific and engineering community to advance fundamental discovery and understanding in a broad range of disciplines. Supported by the U.S. Department of Energy’s (DOE’s) Office of Science, Advanced Scientific Computing Research (ASCR) program, the ALCF is one of two DOE Leadership Computing Facilities in the nation dedicated to open science.

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https://​ener​gy​.gov/​s​c​ience.

Learn more about opportunities to partner with Argonne National Laboratory.

Argonne National Laboratory

Data from Argonne’s Advanced Photon Source provides foundation for first U.S. approved RSV vaccine

GSK’s vaccine, Arexvy, is based in part on structural biology work conducted more than a decade ago at the Advanced Photon Source, located in DuPage County at Argonne National Laboratory.

Press Release from Argonne National Laboratory

Respiratory syncytial virus (RSV) is a highly contagious disease that affects millions of people each year around the world, resulting in an estimated 160,000 deaths. In the United States, severe RSV causes 6,000 to 10,000 deaths among people 65 years of age or older.

On May 3, the U.S. Food and Drug Administration approved Arexvy, an RSV vaccine developed by pharmaceutical company GSK plc, formerly GlaxoSmithKline plc. It is the first RSV vaccine to be approved in the United States, and according to GSK’s press release, the first for older adults to be approved anywhere in the world. This is a crucial step toward improving preventative care for this deadly disease.

Although Arexvy has recently been approved, its origins date back more than a decade. GSK’s vaccine is based in part on data collected at the Advanced Photon Source (APS), a U.S. Department of Energy (DOE) Office of Science user facility at DOE’s Argonne National Laboratory, starting in 2009. Those data were collected by Jason McLellan, now a professor at the University of Texas at Austin; Peter Kwong, chief of the structural biology section at the National Institutes of Health (NIH); and Barney Graham, who retired from NIH’s National Institute of Allergy and Infectious Diseases in 2021. (Graham is now the senior advisor for global health equity at Morehouse School of Medicine.)

McLellan was a postdoctoral researcher in Kwong’s lab at NIH from 2008 to 2013. The key to the RSV vaccine he, Kwong and Graham developed was a stronger understanding of the F protein, which sticks out from the surface of the virus and makes first contact with human cells, infecting them. The protein has two conformations: prefusion, a smaller form that first makes contact with cells, and postfusion, an extended form that the protein adopts once it has finished helping the virus into those cells.

Since infection depends on the F protein achieving its postfusion mode, McLellan, Kwong and Graham focused their efforts on stabilizing the protein in its prefusion form. This would provide a target for the immune system, helping it develop neutralizing antibodies against the virus. The researchers created more than 100 different variants of the F protein before they achieved success, and parts of that work were performed at the Southeast Regional Collaborative Access Team (SER-CAT) beamline at the APS, operated by the University of Georgia.

“The structures we determined at the APS played an important role in the development of this vaccine,” McLellan said. ​“The availability of light source facilities such as the APS meant that we could try multiple variants until we hit on the most stabilized antigen.”

In May 2013, McLellan, Kwong, Graham and their colleagues reported success, publishing their work in Science. In November 2013, they reported a vaccine candidate for RSV that was based on a prefusion-stabilized form of the F protein. When injected into animals, that vaccine candidate elicited exceptionally high levels of neutralizing antibodies. That paper was also published in Science, and included structural work performed at SER-CAT.

“SER-CAT is honored to have played a small but important part in building the groundwork for this momentous lifesaving vaccine,” said B.C. Wang, SER-CAT director. ​“This work illustrates the importance of making state-of-the-art resources such as SER-CAT available to the nation’s scientists.”

Since then, various permutations of that vaccine have undergone clinical trials. Arexvy is based in part on the vaccine candidate developed by McLellan, Kwong, Graham and their fellow researchers.

In its main clinical trial, Arexvy was administered to approximately 12,500 patients age 60 or older. The vaccine was shown to reduce the risk of developing lower respiratory tract disease (LRTD), a common RSV-related illness, by 82.6 percent, and severe LRTD by 94.1 percent.

 ​“I’m very pleased to see our hard work pay off with an approved vaccine for RSV,” McLellan said. ​“Vaccine development and approval takes time, but knowing that our research will result in lives saved and severe illnesses avoided is immensely gratifying.”

Since 2013, McLellan and Graham have turned their attention to coronaviruses, applying the same technique they developed for RSV to the infamous spike protein found on coronaviruses. When the COVID-19 pandemic struck in 2020, they joined with other colleagues to apply their method to inhibit the spread of the disease. They discovered that the same principle applied to the spike protein of SARS-CoV-2, the virus that causes COVID-19, and the mutations they developed were incorporated into both Pfizer’s and Moderna’s COVID-19 vaccines.

“The COVID-19 vaccines were developed and approved quickly, but it was this structural biology work by McLellan and his colleagues on other viruses, such as RSV, over more than a decade that helped make them so effective,” said Bob Fischetti, Argonne group leader and life sciences advisor to the APS director. ​“It’s great to see the work come full circle and result in an approved RSV vaccine. It underlines the continuing public health benefits of basic research occurring at the APS and other light sources worldwide.”   

About the Advanced Photon Source

The U. S. Department of Energy Office of Science’s Advanced Photon Source (APS) at Argonne National Laboratory is one of the world’s most productive X-ray light source facilities. The APS provides high-brightness X-ray beams to a diverse community of researchers in materials science, chemistry, condensed matter physics, the life and environmental sciences, and applied research. These X-rays are ideally suited for explorations of materials and biological structures; elemental distribution; chemical, magnetic, electronic states; and a wide range of technologically important engineering systems from batteries to fuel injector sprays, all of which are the foundations of our nation’s economic, technological, and physical well-being. Each year, more than 5,000 researchers use the APS to produce over 2,000 publications detailing impactful discoveries, and solve more vital biological protein structures than users of any other X-ray light source research facility. APS scientists and engineers innovate technology that is at the heart of advancing accelerator and light-source operations. This includes the insertion devices that produce extreme-brightness X-rays prized by researchers, lenses that focus the X-rays down to a few nanometers, instrumentation that maximizes the way the X-rays interact with samples being studied, and software that gathers and manages the massive quantity of data resulting from discovery research at the APS.

This research used resources of the Advanced Photon Source, a U.S. DOE Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357.

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https://​ener​gy​.gov/​s​c​ience.

Argonne National Laboratory

New ComEd Substation Brings Science to Life at Argonne National Laboratory

To provide the reliable energy required to power groundbreaking discoveries in energy, transportation and medical treatments, ComEd has completed a new substation at the U.S. Department of Energy’s (DOE) Argonne National Laboratory to support the lab’s new Aurora exascale supercomputer—one of the nation’s most advanced computers with the ability to seamlessly integrate data analysis, simulations, modeling and artificial intelligence.

The 138-kilovolt substation is the latest collaboration between ComEd and Argonne to ensure reliable energy for campus’ critical research. This is the third substation ComEd has deployed for Argonne’s Lemont campus.

“At ComEd, we are committed to building the electric infrastructure necessary for the advancement of science and the development of breakthrough technologies,” said Gil Quiniones, ComEd CEO. “Argonne’s work is critical for driving groundbreaking research, and we’re proud to power this innovative technology that holds the promise to change the world.”

Argonne is home to six additional national user facilities used by thousands of scientists from around the world each year. These unique research centers include world-leading computing capabilities and an X-ray microscope that is larger than Wrigley Field and 10 billion times brighter than medical X-rays.

“Argonne’s partnership with ComEd enables our team to use the new Aurora exascale supercomputer to conduct some of the most groundbreaking research in the world to drive innovation and support critical infrastructure,” said Argonne Director Paul Kearns. “Our shared mission will help improve the quality of life for millions of people around the world through our steps to tackle health research and identifying ways to ensure reliable, sustainable energy for our surrounding communities.”

This year, ComEd delivered its most reliable service on record and was recognized for being the most resilient utility in the country. Since starting smart grid investments in 2012, ComEd has avoided more than 19 million customer interruptions due in part to smart grid and system improvements. These investments have helped save customers more than $3.1 billion in avoided outages and many millions more through efficiencies created by technologies like smart meters and distribution automation.

This latest project builds on the strong collaboration between ComEd and Argonne. Earlier this year, ComEd and Argonne released the first phase of a comprehensive Climate Risk and Adaption Study as part of ComEd’s long-term effort to understand the impacts of climate change to the power grid and operations and begin to devise strategies to adapt in northern Illinois. This is the first study of its kind in the region.