Argonne National Laboratory (ANL)


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Argonne National Laboratory
9700 South Cass Avenue
Argonne, IL 60439
United States

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Argonne National Laboratory, one of the U.S. Department of Energy's oldest and largest national laboratories for science and engineering research, employs roughly 3,200 employees, including about 1,600 scientists and engineers. Argonne's annual operating budget of around $750 million (FY17) supports hundreds of research projects. Argonne regularly works with large and small companies, other federal agencies, and state and local governments to address scientific and technical challenges and seize opportunities.


The mission of the Laboratory is to apply a unique mix of world-class science, engineering and user facilities to deliver innovative research and technologies. We create new knowledge that addresses the most important scientific and societal needs of our nation.


Argonne scientists and engineers carry out both fundamental and applied scientific projects and maintain a number of large scientific user facilities that enhance research, especially projects that use hard X-rays and advanced computers. User facilities include:

·         Advanced Photon Source (APS)

·         Center for Nanoscale Materials (CNM)

·         Argonne Tandem Linac Accelerator System (ATLAS)

·         Argonne Leadership Computing Facility (ALCF)

·         Atmospheric Radiation Measurement Climate Research Facility (ARM)

Technology Disciplines

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Accurate Detection of Impurities in Hydrogen Fuel at Lower Cost
Accurate Detection of Impurities in Hydrogen Fuel at Lower Cost
Acoustic Building Infiltration Measurement System/Sonic Leak Quantifier (SonicLQ)
Actinide and lanthanide separation process (ALSEP)
ALD Reactor for Coating Porous Substrates
ALD Reactor for Coating Porous Substrates
Anode Materials for Lithium Ion Batteries
Anode Materials for Lithium Ion Batteries
ARG-US Remote Area Modular Monitoring (RAMM)


Displaying 1 - 10 of 24
Advanced Photon Source (APS)
Argonne Accelerator Institute
Argonne Leadership Computing Facility (ALCF)
Argonne Tandem Linac Accelerator System (ATLAS)
Argonne Wakefield Accelerator
Atmospheric Radiation Measurement Climate Research (ARM)
Battery Post-Test Facility
Battery Test Facility- Electrochemical Analysis and Diagnostics Laboratory
Cell Analysis, Modeling, and Prototyping Facility (CAMP)-Battery Cell Fabrication Facility
Center for Electrochemical Energy Science



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By collaborating with Argonne and software developer Convergent Science, Inc., heavy equipment manufacturing giant Cummins gained access to cutting-edge computer modeling and analysis tools and expertise that allowed it to achieve major advances in fuel economy and reduce development costs and time-to-market for engines.

Argonne, through its Virtual Engine Research Institute and Fuels Initiative (VERIFI), has developed engine models and software for large-scale computer simulations that provide – in virtual space, before costly physical production ever begins – a better understanding of how internal combustion engine parameters interact.

As part of a Cooperative Research and Development Agreement (CRADA), Cummins, Argonne, and Convergent Science, Inc., conducted simulations on Cummins engine products, focusing specifically on the fluid dynamics of fuel injectors. Argonne’s fuel spray modeling capabilities and advanced load-balancing algorithm technologies: allow for more reliable analytical calculations; lower dependence on experimental engines and prototypes, and accelerate new engine concepts and design to market.

VERIFI’s products have won a prestigious Federal Lab Consortium (FLC) Award as well as an HPC (High-Performance Computing) Innovation Excellence Award.

CRADA Outcome

Argonne’s fuel spray modeling capabilities and advanced load-balancing algorithm technologies have given Cummins access to more reliable analytical calculations; the work has lowered Cummins' dependence on experimental engines and prototypes and has accelerated new engine concepts and design to market.

Since the 1995 sarin gas attack in a Tokyo subway, authorities have recognized that large interior structures are vulnerable to chemical (and biological) attacks. Particularly at risk are venues like subways, airports and government office buildings, where people are concentrated in small areas and quick evacuation is difficult; or enclosed buildings such as convention centers or arenas, where the threat may be high when the facility is occupied. In all cases, early detection and rapid response are essential to ensure crowd safety and the saving of lives.

Proper pre-planning, along with advanced technology, can provide facility management with an early warning to trigger emergency management tools and protocols and potentially save hundereds of lives.

Scientists at Argonne National Laboratory have created an automated hardware/software system to improve the detection of and reaction to complex terrorist attacks involving chemical agents. The system, called PROTECT (Program for Response Options and Technology Enhancements for Chemical/Biological Terrorism), integrates chemical detectors, closed-circuit TV, dispersion modeling and optimal response protocols. Alarm and response management capabilities assist infrastructure operators and first responders by pinpointing agent release areas and projected dispersion zones and recommendeing appropriate, predetermined response scenarios.

Argonne’s SAS4A/SASSYS-1 safety analysis code system is a simulation tool that can perform deterministic transient safety analyses of anticipated operational events, as well as design-basis and beyond-design-basis accidents for advanced nuclear reactors. The original code development was for sodium-cooled fast reactors, and sodium boiling can be modeled. However, basic core thermal-hydraulics and systems analysis features are applicable to other liquid-metal cooled reactor concepts.

As evidenced by the licensee list above, SAS4A/SASSYS-1 is a globally deployed national asset, encompassing decades of Argonne specific research and development.


  • Safety analysis of fast reactors
  • Simulations for operational, design-basis and beyond-design-basis events
  • Passive heat removal and natural circulation flow predictions
  • Severe accident modeling with sodium boiling, fuel melting and pin failure



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