DOE News
    Doe Science news source
    The DOE Science News Source is a Newswise initiative to promote research news from the Office of Science of the DOE to the public and news media.
    • 2020-09-24 14:45:09
    • Article ID: 738618

    The next big thing: the use of graph neural networks to discover particles

    • Credit: Image courtesy of Ziheng Chen, Northwestern University

      The upgraded high-granularity calorimeter — a component of the CMS detector at the Large Hadron Collider — produces complicated images of particles generated from collisions. Researchers are working to implement graph neural networks to optimize the analysis of this data to better identify and characterize particle interactions of interest.

    • Credit: Photo: CERN

      The CMS detector at the Large Hadron Collider takes billions of images of high-energy collisions every second to search for evidence of new particles. Graph neural networks expeditiously decide which of these data to keep for further analysis.

    Machine learning algorithms can beat the world’s hardest video games in minutes and solve complex equations faster than the collective efforts of generations of physicists. But the conventional algorithms still struggle to pick out stop signs on a busy street.

    Object identification continues to hamper the field of machine learning — especially when the pictures are multidimensional and complicated, like the ones particle detectors take of collisions in high-energy physics experiments. However, a new class of neural networks is helping these models boost their pattern recognition abilities, and the technology may soon be implemented in particle physics experiments to optimize data analysis.

    This summer, Fermilab physicists made an advance in their effort to embed graph neural networks into the experimental systems. Scientist Lindsey Gray updated software that allows these cutting-edge algorithms to be deployed on data from the Large Hadron Collider at CERN. For the first time, these networks will be integrated into particle physics experiments to process detector data directly — opening the flood gates for a major jump in efficiency that will yield more precise insight from current and future detectors.

    “What was a week ago just an object of research is now a widely usable tool that could transform our ability to analyze data from particle physics experiments,” Gray said.

    His work focuses initially on using graph neural networks to analyze data from the CMS experiment at the LHC, one of the collider’s four major particle physics experiments.

    Programmers develop neural networks to sift through mountains of data in search for a specific category or quantity — say, a stop sign in a photo of a crowded street.

    Normal digital photographs are essentially a giant grid of red, green and blue square pixels. After being trained to recognize what a stop sign looks like, classic neural networks inspect the whole block of pixels to see whether or not the target is present. This method is inefficient, however, since the models have to process lots of irrelevant, obfuscating data.

    Computer scientists have developed new classes of neural networks to improve this process, but the algorithms still struggle to identify objects in images that are more complex than just a two-dimensional grid of square pixels.

    Take molecules, for example. In order to determine whether or not a chemical is toxic, chemists have to locate certain features like carbon rings and carboxyl groups within a molecule. The photographs of the chemicals taken with X-ray chromatography machines produce 3-D images of bonded atoms, which look slightly different every time they’re viewed.

    Since the data are not stored in a square grid, it’s difficult for typical neural networks to learn to identify the toxic compounds. To get around this, chemists have started employing a new set of neural networks: graph neural networks, or GNNs.

    “What was a week ago just an object of research is now a widely usable tool that could transform our ability to analyze data from particle physics experiments.” – Lindsey Gray

    Unlike these typical neural networks, GNNs are able to tell which pixels are connected to one another even if they’re not in a 2-D grid. By making use of the “edges” between the “nodes” of data (in this case, the bonds between the atoms), these machine learning models can identify desired subjects much more efficiently.

    Gray’s vision is to bring these models and their enhanced target identification to streamline data processing for particle collisions.

    “With a graph neural net, you can write a significantly better pattern recognition algorithm to be used for something as complex as particle accelerator data because it has the ability to look at relationships between all the data coming in to find the most pertinent parts of that information,” he said.

    Gray’s research focuses on implementing GNNs into the CMS detector’s high-granularity calorimeter, or HGCal. CMS takes billions of images of high-energy collisions every second to search for evidence of new particles.

    One challenge of the calorimeter is that it collects so much data — enough pictures to fill up 20 million iPhones every second — that a large majority must be thrown away because of limitations in storage space. The HGCal’s trigger systems have to decide in a few millionths of a second which parts of the data are interesting and should be saved. The rest get deleted.

    “If you have a neural network that you can optimize to run in a certain amount of time, then you can make those decisions more reliably. You don't miss things, and you don't keep things that you don't really need,” said Kevin Pedro, another Fermilab scientist working with Gray.

    The HGCal detectors collect lots of different information at the same time about particle interactions, which produces some very complicated images.

    “These data are weirdly shaped, they have random gaps in them, and they’re not even remotely close to a contiguous grid of squares,” Gray said. “That’s where the graphs come in — because they allow you to just skip all of the meaningless stuff.”

    In theory, the GNNs would be trained to analyze the connections between pixels of interest and be able to predict which images should be saved and which can be deleted much more efficiently and accurately. However, because this class of neural net is so new to particle physics, it’s not yet possible to implement them directly into the trigger hardware.

    The graph neural network is well-suited to the HGCal in another way: The HGCal’s modules are hexagonal, a geometry that, while not compatible with other types of neural networks, works well with GNNs.

    “That’s what makes this particular project a breakthrough,” said Fermilab Chief Information Officer Liz Sexton-Kennedy. “It shows the ingenuity of Kevin and Lindsey: They worked closely to colleagues designing the calorimeter, and they put to use their unique expertise in software to further extend the capabilities of the experiment.”

    Gray also managed to write a code that extends the capabilities of PyTorch, a widely used open-source machine learning framework, to allow graph neural network models to be run remotely on devices around the world.

    “Prior to this, it was extremely clunky and circuitous to build a model and then deploy it,” Gray said. “Now that it’s functional, you just send off data into the service, it figures out how to best execute it, and then the output gets sent back to you.”

    Gray and Pedro said they hope to have the graph neural networks functional by the time the LHC’s Run 3 resumes in 2021. This way, the models can be trained and tested before the collider’s high-luminosity upgrade, whose increased data collection capabilities will make GNNs even more valuable.

    Once the networks are up and running in one place, it should be much easier to get them working in other experiments around the lab.

    “You can still apply all of the same things we're learning about graph neural networks in the HGCal to other detectors in other experiments,” Gray said. “The rate at which we're adopting machine learning in high-energy physics is not even close to saturated yet. People will keep finding more and more ways to apply it.”

    Fermilab scientific computing research is supported by the Department of Energy Office of Science.

    Fermilab is supported by the Office of Science of the U.S. Department of Energy. The 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 science.energy.gov.

    X
    X
    X
    • Filters

    • × Clear Filters
    Building a star in a smaller jar

    Building a star in a smaller jar

    Researchers at PPPL have gained a better understanding of a promising method for improving the confinement of superhot fusion plasma using magnetic fields.

    Hide and seek: Understanding how COVID-19 evades detection in a human cell

    Hide and seek: Understanding how COVID-19 evades detection in a human cell

    Scientists using the Advanced Photon Source have discovered new insights into the ways the SARS-CoV-2 virus camouflages itself inside the human body.

    Neutrons chart atomic map of COVID-19's viral replication mechanism

    Neutrons chart atomic map of COVID-19's viral replication mechanism

    To better understand how the novel coronavirus behaves and how it can be stopped, scientists have completed a three-dimensional map that reveals the location of every atom in an enzyme molecule critical to SARS-CoV-2 reproduction. Researchers at the Department of Energy's Oak Ridge National Laboratory used neutron scattering to identify key information to improve the effectiveness of drug inhibitors designed to block the virus's replication mechanism.

    On-surface synthesis of graphene nanoribbons could advance quantum devices

    On-surface synthesis of graphene nanoribbons could advance quantum devices

    An international multi-institution team of scientists has synthesized graphene nanoribbons - ultrathin strips of carbon atoms - on a titanium dioxide surface using an atomically precise method that removes a barrier for custom-designed carbon nanostructures required for quantum information sciences.

    Exploring the source of stars and planets in a laboratory

    Exploring the source of stars and planets in a laboratory

    New computer simulation aims to verify a widely held but unproven theory of the growth of celestial bodies.

    Flexing our research muscle: Scientists use APS to better understand muscle form, function

    Flexing our research muscle: Scientists use APS to better understand muscle form, function

    Powerful APS X-rays are used to uncover the structure and behavior of proteins controlling tarantula muscles. These insights may help scientists better understand our own muscles.

    What A Crystal Reveals About Nuclear Materials Processing

    What A Crystal Reveals About Nuclear Materials Processing

    PNNL researchers devised a new method to probe the atomic structure of plutonium-containing microcrystals using laboratory-based equipment.

    A first-of-its-kind catalyst mimics natural processes to break down plastic and produce valuable new products

    A first-of-its-kind catalyst mimics natural processes to break down plastic and produce valuable new products

    A team of scientists led by the U.S. Department of Energy's Ames Laboratory has developed a first-of-its-kind catalyst that is able to process polyolefin plastics, types of polymers widely used in things like plastic grocery bags, milk jugs, shampoo bottles, toys, and food containers.

    A new approach boosts lithium-ion battery efficiency and puts out fires, too

    A new approach boosts lithium-ion battery efficiency and puts out fires, too

    This new technology addresses two major goals of battery research: extending the driving range of electric vehicles and reducing the danger that laptops, cell phones and other devices will burst into flames.

    Berkeley Lab Scientists Contribute to New Exploration of Higgs Boson Interactions

    Berkeley Lab Scientists Contribute to New Exploration of Higgs Boson Interactions

    A new analysis, featuring important contributions by Berkeley Lab scientists, strongly supports the hypothesis that the Higgs boson interacts with muons, which are heavier siblings of electrons and the lightest particles yet to reveal evidence for these interactions.


    • Filters

    • × Clear Filters
    Five Argonne researchers recognized as 2020 Distinguished Fellows

    Five Argonne researchers recognized as 2020 Distinguished Fellows

    Argonne selects five new Distinguished Fellows, the laboratory's highest scientific rank.

    Department of Energy's Office of Technology Transitions providing funding for researchers to support COVID-19 projects

    Department of Energy's Office of Technology Transitions providing funding for researchers to support COVID-19 projects

    The U.S. Department of Energy's Office of Technology Transitions has announced a COVID-19 Technical Assistance Program that provides funding for national laboratory researchers to assist U.S. entities on COVID-19 projects.

    Turning up the heat on molten salt valves

    Turning up the heat on molten salt valves

    Sandia National Laboratories is partnering with Flowserve Corp. and Kairos Power LLC on a $2.5 million, three-year Department of Energy Advanced Valve Project grant to lower the cost and boost the efficiency of concentrating solar power in the U.S. Control valves are a critical link in managing the solar energy captured by next-generation concentrating solar power plants. They must safely and reliably collect, store and transfer extremely hot and corrosive chloride salt to be used for generating electricity for public use.

    Argonne postdoctoral researcher Daniel Moberg wins Cozzarelli Prize

    Argonne postdoctoral researcher Daniel Moberg wins Cozzarelli Prize

    Argonne researcher Daniel Moberg has won a 2019 Cozzarelli Prize, awarded to the top scientific papers published in the Proceedings of the National Academy of Sciences.

    A bid for new businesses:  Industry Day on Tuesday, Oct. 27, highlights business opportunities at PPPL

    A bid for new businesses: Industry Day on Tuesday, Oct. 27, highlights business opportunities at PPPL

    PPPL hosts Industry Day on Tuesday, Oct. 27, to highlight plans for a new research building and other capital projects.

    PPPL physicist to receive Edison Award for fusion-powered rocket propulsion

    PPPL physicist to receive Edison Award for fusion-powered rocket propulsion

    PPPL physicist Sam Cohen will receive an Edison Award for his invention with collaborators of a compact rocket engine thruster propelled by a small fusion reactor.

    National Virtual Biotechnology Laboratory Symposium, October 28

    National Virtual Biotechnology Laboratory Symposium, October 28

    A virtual symposium to highlight the impact the U.S. Department of Energy's (DOE) National Virtual Biotechnology Laboratory (NVBL) has had utilizing the unique capabilities of the DOE to tackle the science and technology challenges associated with COVID-19, and to discuss areas in which the NVBL can have impact in the future. The event is aimed at the S&T community, media, and the general public.

    Who Will Get the Prize for Better Hurricane Monitoring?

    Who Will Get the Prize for Better Hurricane Monitoring?

    The Ocean Observing Prize seeks competitors for an incentive prize program to help inventors advance new concepts for marine energy technologies that can power ocean observing systems. This phase focuses on observing platforms that host instruments that can provide better data regarding hurricane formation.

    Berkeley Lab Names Noel Bakhtian to Lead New Energy Storage Center

    Berkeley Lab Names Noel Bakhtian to Lead New Energy Storage Center

    Berkeley Lab has appointed Noel Bakhtian, previously a senior policy adviser in the White House Office of Science and Technology (OSTP) and currently director of the Center for Advanced Energy Studies (CAES) at Idaho National Laboratory, as its inaugural director of the Berkeley Lab Energy Storage Center.

    CERN Senior Fellow Dorota Grabowska Receives Leona Woods Lectureship Award

    CERN Senior Fellow Dorota Grabowska Receives Leona Woods Lectureship Award

    Dorota Grabowska, a senior fellow in the department of theoretical physics at CERN, Europe's particle physics laboratory, has been named a recipient of the Leona Woods Distinguished Postdoctoral Lectureship Award. The award was established by the physics department at the U.S. Department of Energy's Brookhaven National Laboratory in honor of renowned physicist Leona Woods to celebrate the scientific accomplishments of outstanding female physicists and physicists from other under-represented minority groups, including the LGBTQ community--and to promote diversity and inclusion in the department.


    • Filters

    • × Clear Filters
    Harvesting Energy from Light using Bio-inspired Artificial Cells

    Harvesting Energy from Light using Bio-inspired Artificial Cells

    Scientists designed and connected two different artificial cells to each other to produce molecules called ATP (adenosine triphosphate).

    Engineering Living Scaffolds for Building Materials

    Engineering Living Scaffolds for Building Materials

    Bone and mollusk shells are composite systems that combine living cells and inorganic components. This allows them to regenerate and change structure while also being very strong and durable. Borrowing from this amazing complexity, researchers have been exploring a new class of materials called engineered living materials (ELMs).

    Excavating Quantum Information Buried in Noise

    Excavating Quantum Information Buried in Noise

    Researchers developed two new methods to assess and remove error in how scientists measure quantum systems. By reducing quantum "noise" - uncertainty inherent to quantum processes - these new methods improve accuracy and precision.

    How Electrons Move in a Catastrophe

    How Electrons Move in a Catastrophe

    Lanthanum strontium manganite (LSMO) is a widely applicable material, from magnetic tunnel junctions to solid oxide fuel cells. However, when it gets thin, its behavior changes for the worse. The reason why was not known. Now, using two theoretical methods, a team determined what happens.

    When Ions and Molecules Cluster

    When Ions and Molecules Cluster

    How an ion behaves when isolated within an analytical instrument can differ from how it behaves in the environment. Now, Xue-Bin Wang at Pacific Northwest National Laboratory devised a way to bring ions and molecules together in clusters to better discover their properties and predict their behavior.

    Tune in to Tetrahedral Superstructures

    Tune in to Tetrahedral Superstructures

    Shape affects how the particles fit together and, in turn, the resulting material. For the first time, a team observed the self-assembly of nanoparticles with tetrahedral shapes.

    Tracing Interstellar Dust Back to the Solar System's Formation

    Tracing Interstellar Dust Back to the Solar System's Formation

    This study is the first to confirm dust particles pre-dating the formation of our solar system. Further study of these materials will enable a deeper understanding of the processes that formed and have since altered them.

    Investigating Materials that Can Go the Distance in Fusion Reactors

    Investigating Materials that Can Go the Distance in Fusion Reactors

    Future fusion reactors will require materials that can withstand extreme operating conditions, including being bombarded by high-energy neutrons at high temperatures. Scientists recently irradiated titanium diboride (TiB2) in the High Flux Isotope Reactor (HFIR) to better understand the effects of fusion neutrons on performance.

    Better 3-D Imaging of Tumors in the Breast with Less Radiation

    Better 3-D Imaging of Tumors in the Breast with Less Radiation

    In breast cancer screening, an imaging technique based on nuclear medicine is currently being used as a successful secondary screening tool alongside mammography to improve the accuracy of the diagnosis. Now, a team is hoping to improve this imaging technique.

    Microbes are Metabolic Specialists

    Microbes are Metabolic Specialists

    Scientists can use genetic information to measure if microbes in the environment can perform specific ecological roles. Researchers recently analyzed the genomes of over 6,000 microbial species.


    Spotlight

    Graduate students gather virtually for summer school at PPPL
    Monday October 05, 2020, 04:45 PM

    Graduate students gather virtually for summer school at PPPL

    Princeton Plasma Physics Laboratory

    Virtual internships for physics students present challenges, build community
    Tuesday September 15, 2020, 04:35 PM

    Virtual internships for physics students present challenges, build community

    Princeton Plasma Physics Laboratory

    Blocking the COVID-19 Virus's Exit Strategy
    Monday August 31, 2020, 04:05 PM

    Blocking the COVID-19 Virus's Exit Strategy

    Brookhaven National Laboratory

    Summer Students Tackle COVID-19
    Monday August 31, 2020, 03:35 PM

    Summer Students Tackle COVID-19

    Brookhaven National Laboratory

    Graduate student at PPPL Ian Ochs wins top Princeton University fellowship
    Friday April 17, 2020, 05:25 PM

    Graduate student at PPPL Ian Ochs wins top Princeton University fellowship

    Princeton Plasma Physics Laboratory

    Barbara Garcia: A first-generation college student spends summer doing research at PPPL
    Tuesday September 24, 2019, 04:05 PM

    Barbara Garcia: A first-generation college student spends summer doing research at PPPL

    Princeton Plasma Physics Laboratory

    Argonne organization's scholarship fund blazes STEM pathway
    Tuesday September 17, 2019, 05:05 PM

    Argonne organization's scholarship fund blazes STEM pathway

    Argonne National Laboratory

    Brookhaven Lab, Suffolk Girl Scouts Launch Patch Program
    Friday September 13, 2019, 11:30 AM

    Brookhaven Lab, Suffolk Girl Scouts Launch Patch Program

    Brookhaven National Laboratory

    From an acoustic levitator to a
    Thursday September 12, 2019, 03:05 PM

    From an acoustic levitator to a "Neutron Bloodhound" robot, hands-on research inspires PPPL's summer interns

    Princeton Plasma Physics Laboratory

    Brookhaven Lab Celebrates the Bright Future of its 2019 Interns
    Friday August 30, 2019, 10:00 AM

    Brookhaven Lab Celebrates the Bright Future of its 2019 Interns

    Brookhaven National Laboratory

    PPPL apprenticeship program offers young people chance to earn while they learn high-tech careers
    Thursday August 01, 2019, 12:05 PM

    PPPL apprenticeship program offers young people chance to earn while they learn high-tech careers

    Princeton Plasma Physics Laboratory

    Creating a diverse pipeline
    Friday July 19, 2019, 01:05 PM

    Creating a diverse pipeline

    Princeton Plasma Physics Laboratory

    JSA Awards Graduate Fellowships for Research at Jefferson Lab
    Monday July 08, 2019, 03:00 PM

    JSA Awards Graduate Fellowships for Research at Jefferson Lab

    Thomas Jefferson National Accelerator Facility

    ILSAMP Symposium showcases benefits for diverse students, STEM pipeline
    Monday May 20, 2019, 12:05 PM

    ILSAMP Symposium showcases benefits for diverse students, STEM pipeline

    Argonne National Laboratory

    Integrating Scientific Computing into Science Curricula
    Monday May 13, 2019, 11:05 AM

    Integrating Scientific Computing into Science Curricula

    Brookhaven National Laboratory

    Students from Minnesota and Massachusetts Win DOE's 29th National Science Bowl(r)
    Monday April 29, 2019, 02:05 PM

    Students from Minnesota and Massachusetts Win DOE's 29th National Science Bowl(r)

    Department of Energy, Office of Science

    DOE's Science Graduate Student Research Program Selects 70 Students to Pursue Research at DOE Laboratories
    Friday April 12, 2019, 03:05 PM

    DOE's Science Graduate Student Research Program Selects 70 Students to Pursue Research at DOE Laboratories

    Department of Energy, Office of Science

    Young Women's Conference in STEM seeks to change the statistics one girl at a time
    Thursday March 28, 2019, 03:05 PM

    Young Women's Conference in STEM seeks to change the statistics one girl at a time

    Princeton Plasma Physics Laboratory

    Students team with Argonne scientists and engineers to learn about STEM careers
    Tuesday March 12, 2019, 05:05 PM

    Students team with Argonne scientists and engineers to learn about STEM careers

    Argonne National Laboratory

    Lynbrook High wins 2019 SLAC Regional Science Bowl competition
    Wednesday February 13, 2019, 02:05 PM

    Lynbrook High wins 2019 SLAC Regional Science Bowl competition

    SLAC National Accelerator Laboratory

    Equipping the next generation for a technological revolution
    Thursday January 24, 2019, 01:05 PM

    Equipping the next generation for a technological revolution

    Argonne National Laboratory

    Chemistry intern inspired by Argonne's real-world science
    Friday January 18, 2019, 05:05 PM

    Chemistry intern inspired by Argonne's real-world science

    Argonne National Laboratory

    Chasing a supernova
    Friday January 18, 2019, 04:05 PM

    Chasing a supernova

    Argonne National Laboratory

    Argonne intern streamlines the beamline
    Tuesday January 08, 2019, 02:05 PM

    Argonne intern streamlines the beamline

    Argonne National Laboratory

    Research on Light-Matter Interaction Could Lead to Improved Electronic and Optoelectronic Devices
    Thursday October 11, 2018, 04:00 PM

    Research on Light-Matter Interaction Could Lead to Improved Electronic and Optoelectronic Devices

    Rensselaer Polytechnic Institute (RPI)

    Innovating Our Energy Future
    Wednesday October 03, 2018, 07:05 PM

    Innovating Our Energy Future

    Oregon State University, College of Engineering

    Physics graduate student takes her thesis research to a Department of Energy national lab
    Tuesday October 02, 2018, 03:05 PM

    Physics graduate student takes her thesis research to a Department of Energy national lab

    University of Alabama at Birmingham

    Friday September 21, 2018, 01:05 PM

    "Model" students enjoy Argonne campus life

    Argonne National Laboratory

    Writing Code for a More Skilled and Diverse STEM Workforce
    Thursday September 06, 2018, 01:05 PM

    Writing Code for a More Skilled and Diverse STEM Workforce

    Brookhaven National Laboratory

    New graduate student summer school launches at Princeton Plasma Physics Laboratory
    Tuesday September 04, 2018, 11:30 AM

    New graduate student summer school launches at Princeton Plasma Physics Laboratory

    Princeton Plasma Physics Laboratory

    The Gridlock State
    Friday August 31, 2018, 06:05 PM

    The Gridlock State

    California State University (CSU) Chancellor's Office

    Meet Jasmine Hatcher and Trishelle Copeland-Johnson
    Friday August 31, 2018, 02:05 PM

    Meet Jasmine Hatcher and Trishelle Copeland-Johnson

    Brookhaven National Laboratory

    Argonne hosts Modeling, Experimentation and Validation Summer School
    Friday August 24, 2018, 11:05 AM

    Argonne hosts Modeling, Experimentation and Validation Summer School

    Argonne National Laboratory

    Students affected by Hurricane Maria bring their research to SLAC
    Wednesday August 22, 2018, 01:05 PM

    Students affected by Hurricane Maria bring their research to SLAC

    SLAC National Accelerator Laboratory

    Brookhaven Lab Pays Tribute to 2018 Summer Interns
    Wednesday August 22, 2018, 10:05 AM

    Brookhaven Lab Pays Tribute to 2018 Summer Interns

    Brookhaven National Laboratory

    Changing How Buildings Are Made
    Monday August 20, 2018, 12:05 PM

    Changing How Buildings Are Made

    Washington University in St. Louis

    CSUMB Selected to Host Architecture at Zero Competition in 2019
    Thursday August 16, 2018, 12:05 PM

    CSUMB Selected to Host Architecture at Zero Competition in 2019

    California State University, Monterey Bay

    Department of Energy Invests $64 Million in Advanced Nuclear Technology
    Friday July 20, 2018, 03:00 PM

    Department of Energy Invests $64 Million in Advanced Nuclear Technology

    Rensselaer Polytechnic Institute (RPI)

    Professor Miao Yu Named the Priti and Mukesh Chatter '82 Career Development Professor
    Thursday July 19, 2018, 05:00 PM

    Professor Miao Yu Named the Priti and Mukesh Chatter '82 Career Development Professor

    Rensselaer Polytechnic Institute (RPI)

    2018 RHIC & AGS Annual Users' Meeting: 'Illuminating the QCD Landscape'
    Tuesday July 03, 2018, 11:05 AM

    2018 RHIC & AGS Annual Users' Meeting: 'Illuminating the QCD Landscape'

    Brookhaven National Laboratory

    Argonne welcomes <em>The Martian</em> author Andy Weir
    Friday June 29, 2018, 06:05 PM

    Argonne welcomes The Martian author Andy Weir

    Argonne National Laboratory

    Creating STEM Knowledge and Innovations to Solve Global Issues Like Water, Food, and Energy
    Monday June 18, 2018, 09:55 AM

    Creating STEM Knowledge and Innovations to Solve Global Issues Like Water, Food, and Energy

    Illinois Mathematics and Science Academy (IMSA)

    Professor Emily Liu Receives $1.8 Million DoE Award for Solar Power Systems Research
    Friday June 15, 2018, 10:00 AM

    Professor Emily Liu Receives $1.8 Million DoE Award for Solar Power Systems Research

    Rensselaer Polytechnic Institute (RPI)

    Celebrating 40 years of empowerment in science
    Thursday June 07, 2018, 03:05 PM

    Celebrating 40 years of empowerment in science

    Argonne National Laboratory





    Showing results

    0-4 Of 2215