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Argonne National Laboratory


Argonne Impacts State by State

Argonne’s collaborations in Indiana and across the United States have led to groundbreaking discoveries and development of new technologies that help meet the nation’s needs for sustainable energy, economic prosperity, and security.

Improved weather and climate models predict the future of the Great Lakes region

Researchers used precise lake water surface temperatures (measured in kelvins) to improve understanding of lake surface temperature impacts on regional climate (Image created by Jiali Wang using the National Oceanic and Atmospheric Administration (NOAA) Great Lakes Surface Environmental Analysis (GLSEA) data set).

Jiali Wang from the U. S. Department of Energy’s (DOE) Argonne National Laboratory is part of a project called Coastal Observations, Mechanisms, and Predictions Across Systems and Scales (COMPASS), funded by the Office of Biological and Environmental Research in the U.S. Department of Energy’s Office of Science.

In a new study, Wang and a team of collaborators designed high resolution regional model experiments to explore how lake surface temperatures may affect the climate of the Great Lakes region.

The study indicates that rising lake surface temperatures have the potential to destabilize regional climate conditions throughout the Great Lakes basin. This could increase extreme weather events, causing larger storms and flooding in an area that is home to 30 million people.

Accurate regional and global climate models, as informed by the work of COMPASS, will be crucial for understanding how climate change will affect our lives and infrastructure in the next twenty to thirty years. They can also help shape the country’s plans for climate resilience.

Argonne scientists leverage the power of supercomputers to gain greater understanding of cancer

Argonne scientists Jonathan Ozik (pictured) and Nicholson Collier teamed up with researchers in Indiana and Vermont to search for clues to improve cancer immunotherapy by harnessing the power of supercomputers at Argonne and the University of Chicago (Image by Argonne National Laboratory.)

All cancer patients are different and respond differently to the same therapy. But what if a medical team could create a virtual twin” of a patient and their cancer, simulating how cancer cells behave in order to test treatment options? A multi-institution research team including Argonne has brought the power of high-performance computing to improve cancer immunotherapy.

A promising treatment, immunotherapy realigns a patient’s immune system to reduce or kill cancer cells. However, the therapy is successful in only 10% to 20% of patients because cancer cell behavior is still poorly understood. Using supercomputers, Argonne computational scientists are collaborating with partners at Indiana University, Bloomington and the University of Vermont Medical Center, Burlington to study how immunotherapy works and why it works for only some, but not all, cancer patients.

The team used a technique called agent-based modeling to predict how cancer cells and immune cells interact. The team simulated scenarios under which immune cells successfully killed tumor cells and where cancer cells evaded the immune system. Their approach promises a greater understanding of how the immune system interacts with many types of cancer.

Indiana University, Montana State use spider silk to study viruses at Argonne

Scientists used protein found in the silk of spider webs to conduct their study of viruses at Argonne’s APS. (Image by Shutterstock/Julia Zaghigalina.)

A team from Indiana University, Bloomington and Montana State University used the protein found in spider webs to advance its study of viruses at Argonne’s Advanced Photon Source (APS), a DOE Office of Science user facility. 

An infectious virus carries cargo” within its spherical shell and, once it’s released, the cargo can invade a host organism and reproduce itself. However, a virus’s cargo can be removed, leaving noninfectious virus-like particles (VLPs) that can be used to encapsulate something useful, like an enzyme or a drug. Scientists have developed a growing appreciation of these virus-like particles, not as infectious agents but as building blocks” to form larger, beneficial materials.

The researchers discovered they could use the protein in spider web silk to replicate the building blocks found in the salmonella virus. They replaced the infectious salmonella cargo with two types of noninfectious enzymes and monitored how the newly assembled virus-like particles grew. X-ray beams at the APS confirmed the material’s structure (and also the team’s ability to disassemble the VLPs for later reuse). Their discovery suggests it may be possible to re-engineer” harmful viruses and convert them into carriers that benefit society.

Indiana native builds successful energy tech company with assist from Argonne program

Ian Hamilton, right, CEO of Atlas Energy Systems and Chain Reaction Innovations Cohort 1 member, works with Sergey Chemerisov, left, at Argonne on thermionic energy conversion technology. (Image by Argonne National Laboratory.)

Fort Wayne, Indiana, native and Purdue University graduate Ian Hamilton is founder and CEO of Atlas Energy Systems, LLC, a company that develops energy converters for waste heat power generation, concentrated solar power and advanced nuclear reactors.

From 2017 to 2019, Hamilton was an innovator in Chain Reaction Innovations (CRI), Argonne’s highly sought-after entrepreneurship program that provides the most promising innovators from across the U.S. with world class technical support and business mentorship. Hamilton, who was named to Forbes’ 30 Under 30 in Energy list in 2018, worked with senior Argonne scientists and engineers while at CRI and gained access to facilities and tools that helped him make breakthroughs that have proved pivotal to the company’s success.  

Argonne, Energy Vision study Indiana farm for trailblazing project on renewable natural gas

Dairy cow manure is converted into R-CNG vehicle fuel, using a large anaerobic digester. (Image by Elisabeth Aardema / Shutterstock)

Fair Oaks, Indiana-based Fair Oaks Farms, a large dairy cooperative with about 36,000 cows, is part of a trailblazing project that bodes well for the future of renewable natural gas. The farm converts manure to renewable compressed natural gas (R-CNG) using a large anaerobic digester, and then the fuel powers its milk tanker trucks. Argonne and the sustainable energy NGO Energy Vision collaborated on a 2018 case study, funded by the DOE Vehicle Technologies Office’s Technology Integration program, that highlights Fair Oaks as among the first to produce R-CNG vehicle fuel by using anaerobic digesters to capture  biogases from decomposing organic waste. R-CNG is a fully renewable fuel and produced from anaerobic digestion of waste, which means making and using it results in lower atmospheric greenhouse gas (GHG) than if the fuel were never made or used.

R-CNG can achieve the greatest GHG reductions of any transportation fuel today — 70% or more as compared to gasoline or diesel,” said Marianne Mintz of Argonne’s Energy Systems and Infrastructure Analysis division, who co-authored the case study. Argonne’s Advanced Energy Technologies and Nuclear Technologies and National Security directorates also participated.

ArcelorMittal, Purdue Northwest, Argonne, team up to improve steel manufacturing

Improving steel-reheating-furnace efficiency can improve steel slab quality, increase productivity and reduce energy consumption. (Image by SimoneN / Shutterstock)

East Chicago, Indiana-based ArcelorMittal Global Research and Development is partnering with Argonne and Purdue University Northwest on high performance computing to enable energy-efficient, defect-free manufacturing of steel slabs. Reheat furnaces have an essential role in steel production, but their operation is both energy-intensive and complex. This collaborative research uses advanced simulation and high performance computing technologies to investigate ways that steel manufacturers can improve slab quality, increase productivity, reduce energy consumption and improve environmental benefits. It was funded in 2019 by the DOE’s High Performance Computing for Manufacturing (HPC4Mfg) program.

The HPC4Mfg program aims to help U.S. manufacturers become more productive and competitive through the advancement of energy-efficient and cleaner production technologies. With this research project, we hope to develop synergies by tapping expertise from all three organizations to advance science and engineering, while contributing to the growth of the steel manufacturing industry,” said May Wu, principal environmental systems analyst in Argonne’s Energy Systems and Infrastructure Analysis division. Argonne’s Leadership Computing Facility and Computational Science division also participated.