Argonne applies machine learning to cybersecurity threats
Argonne National LaboratoryArgonne researchers turn to supercomputers and artificial intelligence to try and prevent cyberattacks before they arise.
Argonne researchers turn to supercomputers and artificial intelligence to try and prevent cyberattacks before they arise.
A team of environmental and computation scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are collaborating to use deep neural networks, a type of machine learning, to replace the parameterizations of certain physical schemes in the Weather Research and Forecasting Model, an extremely comprehensive model that simulates the evolution of many aspects of the physical world around us.
The nation’s biofuel producers have made significant gains in both energy efficiency and water conservation in recent years, according to a comprehensive survey conducted by Argonne National Laboratory.
Going on its fourth year, DOE’s CyberForce Competition™ on Nov. 15-16 will give teams of cybersecurity students and professionals the opportunity to compete and refine their skills in real-time at 10 national laboratories across the U.S.
Nature has published a new review co-authored by Argonne analyst Linda Gaines. The review evaluates the state of EV battery recycling today and what’s needed to build a more sustainable future.
A joint effort by the U.S. Department of Energy’s Argonne National Laboratory and the University of Chicago has led to a prestigious R&D 100 Award and is expected to bring an innovation closer to market so it ultimately can be used in many industrial applications.
The Army Research Laboratory and Argonne National Laboratory looked at the structure of the human skull using high-energy X-rays at the Advanced Photon Source. This detailed characterization of the skull will inform computer models to help develop more effective helmets for soldiers.
Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed a highly selective adsorbent material called EZ Select to tackle inefficiencies in bioproduct extraction for biomanufacturing processes.
Argonne scientists have discovered how a certain class of electrolyte material can reduce the frequency of polysulfide shuttling, potentially paving the way for more effective lithium-sulfur batteries.
Researchers at Argonne National Laboratory have discovered a photo-excitation process that speeds up the charging of lithium-ion batteries. If commercialized, such technology could be a game changer for electric vehicles.
Research teams at Argonne National Laboratory have won nine R&D 100 awards, three more are named finalists.
Argonne nuclear scientists and engineers are collaborating with private partners in cutting-edge initiatives that will have meaningful impact.
The Atmospheric Radiation Measurement (ARM) User Facility, supported by the DOE Office of Science, has been providing researchers the data to understand the complex global climate picture for 27 years. The first ARM facility, the Southern Great Plains (SGP) site, was opened in 1992, and is operated by Argonne. Today, there are six stationary and mobile ARM facilities located or transported globally and managed and operated by nine DOE National Laboratories.
Argonne National Laboratory’s Chain Reaction Innovations showcased their second cohort at Demo Day 2019 along with participants from the other two U.S. Department of Energy’s Advanced Manufacturing Office laboratory-embedded entrepreneurship programs.
A multi-institutional collaboration reports a catalytic method for selectively converting discarded plastics into higher quality products. The team included Argonne National Laboratory, Ames Laboratory, Northwestern University and three other universities.
An Argonne team has developed a powerful technique for probing in three dimensions the nanostructure for cathode materials of next-generation batteries. Such batteries could one day revolutionize energy storage for both transportation and the electric grid.
Researchers have used X-ray techniques to investigate particular features of the geometric configuration of tiny particles of chocolate to see how they impact mouthfeel.
From July 28 to Aug. 9, 73 students participated in the 2019 Argonne Training Program on Extreme-Scale Computing (ATPESC) organized by the U.S. Department of Energy’s (DOE) Argonne National Laboratory and funded by DOE’s Exascale Computing Project (ECP).
The recent InnovationXLab℠ Summit on AI raised the profile of the national laboratories’ work in AI and forged new partnerships between industry and the national labs.
Argonne and University of Illinois announce intent to form the Midwest Hydrogen and Fuel Cell Coalition.
For the first time, Argonne scientists have printed 3D parts that pave the way to recycling up to 97 percent of the waste produced by nuclear reactors. From left to right: Peter Kozak, Andrew Breshears, M Alex Brown, co-authors of a recent Scientific Reports article detailing their breakthrough. (Image by Argonne National Laboratory.)
"Pressure consolidation" technology developed and commercialized by Argonne has received a Federal Laboratories Consortium Midwest Regional Excellence in Technology Transfer Award.
Argonne researchers find that semiconductor nanoparticles in the shape of rings have attractive properties for quantum networking and computation.
Researchers at Argonne National Laboratory have designed and tested a new electrolyte composition that could greatly accelerate the adoption of the next generation of lithium-ion batteries.
While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.
Argonne scientists receive $1.19 million from DOE for quantum research.
The complexity of cities and the interrelationships of urban systems makes them ideal candidates for research using machine learning, which Argonne scientists are deploying to improve cities.
Argonne to become newest member of Accelerating Therapeutics for Opportunities in Medicine (ATOM) consortium.
The U.S. Department of Energy (DOE) will convene a meeting Oct. 2-3, with top experts from across government, academia and industry to discuss future efforts in Artificial Intelligence (AI).
The 2019 Innovation XLab Artificial Intelligence (AI) Summit will focus on effective ways artificial intelligence can be harnessed to make life better for all Americans.
Single atom catalysts are highly desirable, but difficult to stabilize. Argonne scientists are part of a team that is using repeated high temperature shockwaves to synthesize high-stability and high-efficiency single atom catalysts.
By using sound waves, scientists have begun to explore fundamental stress behaviors in a crystalline material that could form the basis for quantum information technologies.
The U.S. Department of Energy (DOE) has recently awarded Argonne National Laboratory a total of $4.15 million for research in quantum computing and networking as part of the 2019 Advanced Scientific Computing Research (ASCR) Quantum Computing and Quantum Network Awards. The awards will fund three multi-year projects aimed at securing the nation’s leadership in the field of quantum information science.
In the past 10 years, Argonne’s Hispanic/Latino club has awarded more than $35,000 in education funds to area youth. In 2015, Noemy Escamilla was one of those recipients. Escamilla was awarded a summer 2019 internship, and serendipitously chosen to work alongside the very people who chose her for the scholarship years before.
Designing a new type of nuclear reactor is a complicated endeavor requiring billions of dollars and years of development. Because of the high cost, Argonne researchers are running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.
The ability to learn and adapt in real time is a central feature of biological systems. Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are exploring the use of neuromorphic computer chips that demonstrate this versatility to enhance our ability to efficiently process information in space and in other extreme environments.
Chain Reaction Innovations, the entrepreneurship program at Argonne National Laboratory, is expanding beyond advanced manufacturing and now open to any technology area that can be accelerated to market by leveraging resources available at Argonne.
The Department of Energy has announced Argonne National Laboratory will be receiving funding for two new projects in data science to accelerate discovery in chemistry and material sciences.
Because of topological insulators’ unique electronic properties and their potential use in spintronic devices and even conceivably as transistors for quantum computers, scientists at the U.S. Department of Energy’s Argonne National Laboratory investigated the dynamics of the conducting surface electrons in these materials.
In a recent study, scientists at the U.S. Department of Energy’s Argonne National Laboratory have created a miniaturized chip-based superconducting circuit that couples quantum waves of magnetic spins called magnons to photons of equivalent energy.
Argonne scientists have discovered a new way to coat nuclear materials that supports efforts to minimize use of high-enriched uranium.
The Chain Reaction Innovations (CRI) program is demonstrating impact in moving energy innovation tech to market as its first cohort leaves Argonne. CRI innovators have raised more than $12.5 million in funding since the program began.
Two scientists from Argonne National Laboratory have earned prestigious Early Career Research Program awards from the Department of Energy’s Office of Science. The award is $2.5 million over five years for early career scientists to advance their research.
The U.S. Department of Energy’s Argonne National Laboratory has hired acclaimed researcher Junhong Chen to serve as Lead Water Strategist for the laboratory.
In new research outlined in a recent issue of Science, scientists tethered smaller particles in colloidal crystals to larger ones using DNA, allowing them to determine how the smaller particles filled in the regions surrounding the larger ones.
At the U.S. Department of Energy’s Argonne National Laboratory, researchers are exploring affordable materials that could absorb the sunlight necessary to evaporate water and recapture it, leaving contaminants behind.
Through a collaboration with DOE’s Fermi National Accelerator Laboratory, Argonne is supplying the first eight of 116 superconducting cavities that will create a stream of neutrinos for Fermilab’s Deep Underground Neutrino Experiment (DUNE).
In a new study, scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have explained the ways in which two electronic arrangements compete with each other and ultimately affect the temperature at which a material becomes superconducting.