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.
    • 2019-11-06 14:05:31
    • Article ID: 722151

    Machine Learning Enhances Light-Beam Performance at the Advanced Light Source

    Successful demonstration of algorithm by Berkeley Lab-UC Berkeley team shows technique could be viable for scientific light sources around the globe

    • Credit: Lawrence Berkeley National Laboratory

      This image shows the profile of an electron beam at Berkeley Lab’s Advanced Light Source synchrotron, represented as pixels measured by a charged coupled device (CCD) sensor. When stabilized by a machine-learning algorithm, the beam has a horizontal size dimension of 49 microns root mean squared and vertical size dimension of 48 microns root mean squared. Demanding experiments require that the corresponding light-beam size be stable on time scales ranging from less than seconds to hours to ensure reliable data.

    • Credit: Lawrence Berkeley National Laboratory

      This chart shows how vertical beam-size stability greatly improves when a neural network is implemented during Advanced Light Source operations. When the so-called “feed-forward” correction is implemented, the fluctuations in the vertical beam size are stabilized down to the sub-percent level (see yellow-highlighted section) from levels that otherwise range to several percent.

    Synchrotron light sources are powerful facilities that produce light in a variety of “colors,” or wavelengths – from the infrared to X-rays – by accelerating electrons to emit light in controlled beams.

    Synchrotrons like the Advanced Light Source at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) allow scientists to explore samples in a variety of ways using this light, in fields ranging from materials science, biology, and chemistry to physics and environmental science.

    Researchers have found ways to upgrade these machines to produce more intense, focused, and consistent light beams that enable new, and more complex and detailed studies across a broad range of sample types.

    But some light-beam properties still exhibit fluctuations in performance that present challenges for certain experiments.

    Addressing a decades-old problem

    Many of these synchrotron facilities deliver different types of light for dozens of simultaneous experiments. And little tweaks to enhance light-beam properties at these individual beamlines can feed back into the overall light-beam performance across the entire facility. Synchrotron designers and operators have wrestled for decades with a variety of approaches to compensate for the most stubborn of these fluctuations.

    And now, a large team of researchers at Berkeley Lab and UC Berkeley has successfully demonstrated how machine-learning tools can improve the stability of the light beams’ size for experiments via adjustments that largely cancel out these fluctuations – reducing them from a level of a few percent down to 0.4 percent, with submicron (below 1 millionth of a meter) precision.

    The tools are detailed in a study published Nov. 6 in the journal Physical Review Letters.

    Machine learning is a form of artificial intelligence in which computer systems analyze a set of data to build predictive programs that solve complex problems. The machine-learning algorithms used at the ALS are referred to as a form of “neural network” because they are designed to recognize patterns in the data in a way that loosely resembles human brain functions.

    In this study, researchers fed electron-beam data from the ALS, which included the positions of the magnetic devices used to produce light from the electron beam, into the neural network. The neural network recognized patterns in this data and identified how different device parameters affected the width of the electron beam. The machine-learning algorithm also recommended adjustments to the magnets to optimize the electron beam.

    Because the size of the electron beam mirrors the resulting light beam produced by the magnets, the algorithm also optimized the light beam that is used to study material properties at the ALS.

    Solution could have global impact

    The successful demonstration at the ALS shows how the technique could also generally be applied to other light sources, and will be especially beneficial for specialized studies enabled by an upgrade of the ALS known as the ALS-U project.

    “That’s the beauty of this,” said Hiroshi Nishimura, a Berkeley Lab affiliate who retired last year and had engaged in early discussions and explorations of a machine-learning solution to the longstanding light-beam size-stability problem. “Whatever the accelerator is, and whatever the conventional solution is, this solution can be on top of that.”

    Steve Kevan, ALS director, said, “This is a very important advance for the ALS and ALS-U. For several years we’ve had trouble with artifacts in the images from our X-ray microscopes. This study presents a new feed-forward approach based on machine learning, and it has largely solved the problem.”

    The ALS-U project will increase the narrow focus of light beams from a level of around 100 microns down to below 10 microns and also create a higher demand for consistent, reliable light-beam properties.

    The machine-learning technique builds upon conventional solutions that have been improved over the decades since the ALS started up in 1993, and which rely on constant adjustments to magnets along the ALS ring that compensate in real time for adjustments at individual beamlines.

    Nishimura, who had been a part of the team that brought the ALS online more than 25 years ago, said he began to study the potential application of machine-learning tools for accelerator applications about four or five years ago. His conversations extended to experts in computing and accelerators at Berkeley Lab and at UC Berkeley, and the concept began to gel about two years ago.

    Successful testing during ALS operations

    Researchers successfully tested the algorithm at two different sites around the ALS ring earlier this year. They alerted ALS users conducting experiments about the testing of the new algorithm, and asked them to give feedback on any unexpected performance issues.

    “We had consistent tests in user operations from April to June this year,” said C. Nathan Melton, a postdoctoral fellow at the ALS who joined the machine-learning team in 2018 and worked closely with Shuai Liu, a former UC Berkeley graduate student who contributed considerably to the effort and is a co-author of the study.

    Simon Leemann, deputy for Accelerator Operations and Development at the ALS and the principal investigator in the machine-learning effort, said, “We didn’t have any negative feedback to the testing. One of the monitoring beamlines the team used is a diagnostic beamline that constantly measures accelerator performance, and another was a beamline where experiments were actively running.” Alex Hexemer, a senior scientist at the ALS and program lead for computing, served as the co-lead in developing the new tool.

    The beamline with the active experiments, Beamline 5.3.2.2, uses a technique known as scanning transmission X-ray microscopy or STXM, and scientists there reported improved light-beam performance in experiments.

    The machine-learning team noted that the enhanced light-beam performance is also well-suited for advanced X-ray techniques such as ptychography, which can resolve the structure of samples down to the level of nanometers (billionths of a meter); and X-ray photon correlation spectroscopy, or XPCS, which is useful for studying rapid changes in highly concentrated materials that don’t have a uniform structure.

    Other experiments that demand a reliable, highly focused light beam of constant intensity where it interacts with the sample can also benefit from the machine-learning enhancement, Leemann noted.

    “Experiments’ requirements are getting tougher, with smaller-area scans on samples,” he said. “We have to find new ways for correcting these imperfections.”

    He noted that the core problem that the light-source community has wrestled with – and that the machine-learning tools address – is the fluctuating vertical electron beam size at the source point of the beamline.

    The source point is the point where the electron beam at the light source emits the light that travels to a specific beamline’s experiment. While the electron beam’s width at this point is naturally stable, its height (or vertical source size) can fluctuate.

    Opening the ‘black box’ of artificial intelligence

    “This is a very nice example of team science,” Leemann said, noting that the effort overcame some initial skepticism about the viability of machine learning for enhancing accelerator performance, and opened up the “black box” of how such tools can produce real benefits.

    “This is not a tool that has traditionally been a part of the accelerator community. We managed to bring people from two different communities together to fix a really tough problem.” About 15 Berkeley Lab researchers participated in the effort.

    “Machine learning fundamentally requires two things: The problem needs to be reproducible, and you need huge amounts of data,” Leemann said. “We realized we could put all of our data to use and have an algorithm recognize patterns.”

    The data showed the little blips in electron-beam performance as adjustments were made at individual beamlines, and the algorithm found a way to tune the electron beam so that it negated this impact better than conventional methods could.

    “The problem consists of roughly 35 parameters – way too complex for us to figure out ourselves,” Leemann said. “What the neural network did once it was trained – it gave us a prediction for what would happen for the source size in the machine if it did nothing at all to correct it.

    “There is an additional parameter in this model that describes how the changes we make in a certain type of magnet affects that source size. So all we then have to do is choose the parameter that – according to this neural-network prediction – results in the beam size we want to create and apply that to the machine,” Leemann added.

    The algorithm-directed system can now make corrections at a rate of up to 10 times per second, though three times a second appears to be adequate for improving performance at this stage, Leemann said.

    The search for new machine-learning applications

    The machine-learning team received two years of funding from the U.S. Department of Energy in August 2018 to pursue this and other machine-learning projects in collaboration with the Stanford Synchrotron Radiation Lightsource at SLAC National Accelerator Laboratory. “We have plans to keep developing this and we also have a couple of new machine-learning ideas we’d like to try out,” Leemann said.

    Nishimura said that the buzzwords “artificial intelligence” seem to have trended in and out of the research community for many years, though, “This time it finally seems to be something real.”

    The Advanced Light Source and Stanford Synchrotron Radiation Lightsource are DOE Office of Science User Facilities. This work involved researchers in Berkeley Lab’s Computational Research Division and was supported by the Department of Energy’s Basic Energy Sciences and Advanced Scientific Computing Research programs.

    # # #

    Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 13 Nobel Prizes. Today, Berkeley Lab researchers develop sustainable energy and environmental solutions, create useful new materials, advance the frontiers of computing, and probe the mysteries of life, matter, and the universe. Scientists from around the world rely on the Lab’s facilities for their own discovery science. Berkeley Lab is a multiprogram national laboratory, managed by the University of California for the U.S. Department of Energy’s Office of Science.

    DOE’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, please visit energy.gov/science.

    X
    X
    X
    • Filters

    • × Clear Filters
    New insights into the dynamic edge of fusion plasmas could help capture the power that drives the sun and stars

    New insights into the dynamic edge of fusion plasmas could help capture the power that drives the sun and stars

    Unique PPPL simulations reveal new understanding of the highly complex edge of fusion plasmas.

    Researchers capture the coordinated dance between electrons and nuclei in a light-excited molecule

    Researchers capture the coordinated dance between electrons and nuclei in a light-excited molecule

    Using SLAC's high-speed "electron camera," scientists simultaneously captured the movements of electrons and nuclei in a light-excited molecule. This marks the first time this has been done with ultrafast electron diffraction, which scatters a powerful beam of electrons off materials to pick up tiny molecular motions.

    Untangling a key step in photosynthetic oxygen production

    Untangling a key step in photosynthetic oxygen production

    Researchers zeroed in on a key step in photosynthesis in which a water molecule moves in to bridge manganese and calcium atoms in the catalytic complex that splits water to produce breathable oxygen. What they learned brings them one step closer to obtaining a complete picture of this natural process, which could inform the next generation of artificial photosynthetic systems that produce clean and renewable energy from sunlight and water. Their results were published in the Proceedings of the National Academy of Sciences today.

    Platinum-free catalysts could make cheaper hydrogen fuel cells

    Platinum-free catalysts could make cheaper hydrogen fuel cells

    Argonne scientists studied platinum-free catalysts for important fuel cell reactions. The research provides understanding of the mechanisms that make the catalysts effective, and it could inform production of more efficient and cost-effective catalysts.

    Electrons Break Rotational Symmetry in Exotic Low-Temp Superconductor

    Electrons Break Rotational Symmetry in Exotic Low-Temp Superconductor

    This odd behavior may promote the material's ability upon cooling to perfectly conduct electricity in a way unexplained by standard theories.

    New Study Confirms Important Clues to Fight Ovarian Cancer

    New Study Confirms Important Clues to Fight Ovarian Cancer

    A new study comparing cancerous tissue with normal fallopian tube samples advances important insights about the rogue cellular machinery that drives a majority of ovarian cancers.

    X-ray Experiments Zero in on COVID-19 Antibodies

    X-ray Experiments Zero in on COVID-19 Antibodies

    An antibody derived from a SARS survivor in 2003 appears to effectively neutralize the coronavirus that causes COVID-19, opening the door for speedy development of a targeted treatment.

    Scientists use pressure to make liquid magnetism breakthrough

    Scientists use pressure to make liquid magnetism breakthrough

    Scientists have forced a magnetic crystal into a spin liquid state, which may lead to insights into superconductivity and quantum computing.

    To decipher Earth's evolutionary tale, researchers probe materials at deep-Earth conditions

    To decipher Earth's evolutionary tale, researchers probe materials at deep-Earth conditions

    Scientists have developed a way to study liquid silicates at the extreme conditions found in the core-mantle boundary. This could lead to a better understanding of the Earth's early molten days, which could even extend to other rocky planets.

    Story Tips: Mining for COVID, rules to grow by and the 3D connection

    Story Tips: Mining for COVID, rules to grow by and the 3D connection

    ORNL story Tips: Mining for COVID, rules to grow by and the 3D connection


    • Filters

    • × Clear Filters
    Renowned scientist to head new research for plasma applications in industry and quantum information science

    Renowned scientist to head new research for plasma applications in industry and quantum information science

    The Princeton Plasma Physics Laboratory has appointed David Graves, an internationally known chemical engineer, to head a new research enterprise that will explore plasma applications in semiconductor manufacturing and the next generation of super-fast quantum computers.

    Argonne physicist Giulia Galli earns two top honors for outstanding research and leadership

    Argonne physicist Giulia Galli earns two top honors for outstanding research and leadership

    Galli elected to both the American Academy of Arts and Sciences and the National Academy of Sciences.

    Brookhaven Biochemist Receives Prestigious Award for Plant Lipid Research

    Brookhaven Biochemist Receives Prestigious Award for Plant Lipid Research

    Jantana Keereetaweep, a biochemistry research associate in the biology department at the U.S. Department of Energy's Brookhaven National Laboratory, has been awarded the Paul K. Stumpf Award for her research on plant lipids (fats and oils). The award, given every two years, recognizes the contributions of a promising early-career scientist in honor of Stumpf, who was a world leader and pioneer in the study of plant lipid biochemistry.

    ORNL's Brian Post named SME Young Engineer of the Year

    ORNL's Brian Post named SME Young Engineer of the Year

    Brian Post, a researcher in large-scale additive manufacturing at Oak Ridge National Laboratory, has been selected as a recipient of the 2020 Outstanding Young Manufacturing Engineer Award by the Society of Mechanical Engineers (SME).

    Fourth cohort of 6 innovators selected for Chain Reaction Innovations program

    Fourth cohort of 6 innovators selected for Chain Reaction Innovations program

    Six new innovators will be joining Chain Reaction Innovations (CRI), the entrepreneurship program at the U.S. Department of Energy's (DOE) Argonne National Laboratory, as part of the elite program's fourth cohort.

    Graduate student at PPPL Ian Ochs wins top Princeton University fellowship

    Graduate student at PPPL Ian Ochs wins top Princeton University fellowship

    Graduate student in plasma physics at the Princeton Plasma Physics Laboratory has won a highly selective honorific fellowship from Princeton University.

    U.S. Department of Energy's INCITE program seeks proposals for 2021

    U.S. Department of Energy's INCITE program seeks proposals for 2021

    The INCITE program is now seeking proposals for high-impact, computationally intensive research projects that require the power and scale of DOE's leadership-class supercomputers.

    Argonne's Paul Dickman honored with nuclear waste management achievement award

    Argonne's Paul Dickman honored with nuclear waste management achievement award

    Paul Dickman has been named a Waste Management Symposium Fellow for 2020.

    Using Fiber Optics to Advance Safe and Renewable Energy

    Using Fiber Optics to Advance Safe and Renewable Energy

    Fiber optic cables, it turns out, can be incredibly useful scientific sensors. Researchers at Lawrence Berkeley National Laboratory have studied them for use in carbon sequestration, groundwater mapping, earthquake detection, and monitoring of Arctic permafrost thaw. Now they have been awarded new grants to develop fiber optics for two novel uses: monitoring offshore wind operations and underground natural gas storage.

    Brookhaven Lab's Lijun Wu Receives 2020 Chuck Fiori Award

    Brookhaven Lab's Lijun Wu Receives 2020 Chuck Fiori Award

    For the past 20 years, Wu has been advancing quantitative electron diffraction to study batteries, catalysts, and other energy materials.


    • 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 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

    Introducing Graduate Students Across the Globe to Photon Science
    Monday May 07, 2018, 10:30 AM

    Introducing Graduate Students Across the Globe to Photon Science

    Brookhaven National Laboratory

    Students from Massachusetts and Washington Win DOE's 28th National Science Bowl(r)
    Wednesday May 02, 2018, 04:05 PM

    Students from Massachusetts and Washington Win DOE's 28th National Science Bowl(r)

    Department of Energy, Office of Science

    The Race for Young Scientific Minds
    Thursday April 12, 2018, 07:05 PM

    The Race for Young Scientific Minds

    Argonne National Laboratory

    Q&A: Al Ashley Reflects on His Efforts to Diversify SLAC and Beyond
    Wednesday March 14, 2018, 02:05 PM

    Q&A: Al Ashley Reflects on His Efforts to Diversify SLAC and Beyond

    SLAC National Accelerator Laboratory

    Insights on Innovation in Energy, Humanitarian Aid Highlight UVA Darden's Net Impact Week
    Thursday February 15, 2018, 12:05 PM

    Insights on Innovation in Energy, Humanitarian Aid Highlight UVA Darden's Net Impact Week

    University of Virginia Darden School of Business





    Showing results

    0-4 Of 2215