Scientists at Argonne National Laboratory have experimentally detected the transition state in chemical reactions, a hidden aspect that controls product formation. This breakthrough could improve industrial processes and lead to the synthesis of new life-saving drugs.
Mark Beno, a senior chemist at Argonne National Laboratory, was posthumously awarded the AAAS Fellow distinction for his pioneering work on chemical crystallography. He made significant contributions to understanding high-temperature superconductors and developed beamlines at the Advanced Photon Source.
Lin X. Chen, a senior chemist at Argonne National Laboratory and Northwestern University professor, has received the 2020 Award in Experimental Physical Chemistry for her fundamental contributions to elucidating excited state structures, dynamics, and energetics of light harvesting systems.
The decomposition of organic matter in permafrost soil during winter months can release substantial amounts of CO2 into the atmosphere, exceeding summer uptake. By 2100, this could increase by 41% if current greenhouse gas emissions continue.
Researchers have created a new type of semiconductor neutron detector that boosts detection rates by reducing the number of steps involved in neutron capture and transduction. The LiInP2Se6 material converts neutrons into pairs of charged electrons and holes, generating a current directly detectable thermal neutrons.
Researchers observed the ultrafast proton transfer process following water ionization, creating a hydroxyl radical. The reaction is crucial for nuclear engineering, space travel, and environmental remediation, and its understanding may lead to strategies to suppress radiation damage.
A team of scientists has discovered new details about a type of thin film being explored for advanced microelectronics. The research reveals that the material's local static properties remain intact when transferred from one substrate to another, making it promising for future complex oxide microelectronics.
Researchers at Argonne National Laboratory propose most complete picture to date of metal-insulator transition in transition metal oxides, enabling improved tuning and control for low-power and ultrafast microelectronics. The study reveals that size of vegetable ion within crystal structure affects transition temperature, making materi...
Scientists at Argonne National Laboratory have mapped three-dimensional surfaces of exceptional points, a phenomenon found to have applications in microwave, optical, and mechanical technologies. This discovery has the potential to enhance sensing capabilities and minimize unwanted interference in information processing systems.
An Argonne-led team demonstrated real-time analysis of large amounts of data from Argonne's Advanced Photon Source, showcasing low latency and high-performance capabilities. The successful demonstration highlighted the importance of near-real-time analysis for future research and development.
Researchers at Argonne National Laboratory have developed a photocatalyst made of cuprous oxide that can selectively reduce carbon dioxide to methanol using sunlight. The catalyst's unique geometry and surface structure enable it to convert CO2 into a usable fuel with high selectivity.
Researchers have found a new method to identify and manipulate magnetic Weyl semimetals, which could lead to the development of spintronic devices. The new approach uses the relationship between electronic spin and charge to reveal the topological characteristics of these materials.
A new integrated conversion process reduces emissions by 40-96% using ethanol, making biofuels more sustainable. Researchers developed a one-step conversion method to lower costs and environmental footprint.
Argonne researchers used a machine learning algorithm to relate known molecular structures to larger data sets, reducing computational costs while maintaining precision. The approach improved the accuracy of predictions about battery electrolyte candidates, enabling scientists to identify potential materials for next-generation batteries.
The University of Maryland, Baltimore County took top spot in the DOE's CyberForce Competition with its impressive cybersecurity skills. The competition aimed to inspire and develop the next generation of energy sector cybersecurity professionals.
Researchers at Argonne National Laboratory have developed domain-aware neural networks to replace expensive parameterizations in the Weather Research and Forecasting (WRF) model. These algorithms can predict environmental data more accurately with significantly less training data, enabling faster and higher-resolution simulations.
The review highlights the need for improved waste management solutions to handle growing numbers of retired electric vehicle batteries. Recycling methods are being improved to make processes more economically efficient, minimizing environmental impacts.
Researchers at Argonne National Laboratory have developed a new mechanism to speed up lithium-ion battery charging using concentrated light. By exposing the cathode to white light, the charging time is reduced by a factor of two without degrading battery performance.
Researchers at Argonne National Laboratory and top universities have developed a catalytic method to selectively convert discarded plastics into higher quality products like lubricant oils or waxes. The catalyst converts polyethylene molecules into value-added commercial products with high yield.
A multidisciplinary team at Argonne National Laboratory has developed a powerful technique to probe the crystalline structure of cathode materials in three dimensions. This breakthrough could lead to improved understanding and performance of next-generation batteries.
The Midwest Hydrogen and Fuel Cell Coalition aims to promote the adoption of hydrogen and fuel cells in the region. The coalition will facilitate technology demonstrations and encourage collaboration among researchers and developers to accelerate the adoption of these clean energy technologies.
Researchers at Argonne National Laboratory have discovered a key property of donut-like nanoparticles called semiconductor quantum rings, which may find application in quantum information storage, communication, and computing. The team achieved coherent directional control over light emission by breaking the symmetry of the ring shape.
Scientists at Argonne National Laboratory have developed an additive manufacturing method that enables the recycling of more nuclear waste, reducing storage time by almost one thousandfold. The breakthrough uses 3D-printed parts to separate highly radioactive actinide isotopes from rare earth metals.
Researchers at Argonne National Laboratory have developed a new electrolyte mixture and additive that can stabilize silicon anodes during cycling, improving long-term cycling and calendar life. The new electrolyte mixtures, called MESA, show increased surface and bulk stabilities, outperforming comparable cells with graphite chemistry.
The U.S. Department of Energy's Argonne National Laboratory has received $1.19 million in funding for five projects related to quantum information science (QIS). Researchers will develop ultra-sensitive detectors to detect dark matter and simulate fundamental theories on a quantum computer.
Researchers at Argonne National Laboratory successfully stabilized single atoms using record-high temperatures of up to 2000 K. The method enables the creation of stable single atom catalysts, which can remain in their place for unprecedented periods of time, maximizing atom-use efficiency and improving catalytic performance.
Researchers at Argonne National Laboratory used X-rays to observe spatial changes in a silicon carbide crystal when exposed to sound waves. The study demonstrates the potential of acoustic interactions to change materials at the atomic level, paving the way for novel techniques in quantum information technologies.
Argonne National Laboratory has received nearly $4.75 million in funding from the DOE to support two new data science projects. These projects will use machine learning approaches to accelerate discovery in chemical separations and quantum materials.
Argonne scientists develop a new approach to couple magnetization to superconductivity, paving the way for quantum information systems. This breakthrough enables precise manipulation of quantum information through the creation of an 'echo chamber' for energy and quantum information.
Two Argonne scientists, Ahmet Uysal and Kibaek Kim, have been awarded Early Career Research Program funding to tackle complex challenges in water separation and electric grid modernization. Their research programs will utilize cutting-edge technologies and facilities at Argonne National Laboratory.
Researchers have created a material that challenges traditional crystal definitions by having variable components, which can maintain structure with different proportions. The study used DNA to tether smaller particles to larger ones, revealing 'electron equivalents' that enable delocalization and new technologies.
The Argonne-led Center for Electrochemical Energy Science has developed two new electrode technologies that use graphene to improve lithium-ion battery properties. These advancements have led to increased power, lifetime, and safety, as well as the ability to function at low temperatures, critical for electric vehicles in cold regions.
Researchers have used radiokrypton dating to analyze groundwater in the Negev desert, revealing two distinct sources of ancient water that date back 400,000 years. The study suggests that moisture was delivered from the Atlantic Ocean during cooler climates, providing a unique insight into the region's past hydro-climates.
The U.S. Department of Energy has approved the next phase of the $815M upgrade of the Advanced Photon Source, a premier national research facility that will enable scientists to see things at a scale they have never seen before with storage-ring X-rays. The upgrade positions the APS to be a global leader among the new generation of sto...
A team of researchers has developed a high-performance computing framework to simulate cancer treatment combinations, aiming to improve personalized medicine. The tool, called EMEWS, uses agent-based modeling and machine learning to identify optimal treatment parameters for various types of cancer.
Researchers at Argonne National Laboratory have developed a novel method to overcome limitations of high-energy X-rays, enabling sharper imaging of complex materials. This breakthrough allows scientists to gain better information about material interfaces and control the behavior of new materials.
The US Department of Energy has awarded $4.6 million to Argonne National Laboratory to support collaborations with private industry and deploy promising energy technologies to the market. This funding is made possible through the Technology Commercialization Fund, which aims to maximize the impact of research investment for the nation.
Hybrid algorithms employ classical and quantum capabilities to address limitations of near-term quantum hardware. The approach can tackle optimization problems like graph partitioning and clustering, enabling researchers to use existing quantum hardware for practical applications.
Scientists at Argonne National Laboratory discovered a DNA-like twisted crystal structure created with germanium sulfide nanowires, resembling the organic DNA structure. The twist causes the wire to elongate and widen into a helical structure, with segments resembling helically stacked bricks.
Scientists at Harvard confirmed a 23-year-old theory of superconductors by studying ultra-thin bismuth-based materials. The confirmation offered a quantitative description of the anomalous reverse Hall effect, shedding light on the behavior of magnetic vortices in high-temperature superconductors.
The US Department of Energy is investing $32 million in the Midwest Integrated Center for Computational Materials (MICCoM) to develop open-source software for designing new materials. The center aims to predict and interpret properties of functional materials for energy conversion and quantum information sciences.
The Argonne team applied Bayesian methods to quantify uncertainties in the thermodynamic properties of hafnium, a key component in computer electronics. They found that traditional models often lacked error bars or uncertainties, leading to inaccurate predictions.
Researchers at Argonne National Laboratory determined the nuclear charge radius difference between boron-10 and boron-11 isotopes. This discovery could aid in precise calculations of other nucleus structures, experimentally validated by laser spectroscopy.
Researchers used AI to evolve superconductors by optimizing defect structures, reducing losses and increasing efficiency. By mimicking natural selection, they created materials that can transmit electric current without resistance.
Scientists at Argonne National Laboratory have developed a new cathode coating that provides extra layer of protection for battery cathodes while maintaining electrical and ionical conductivity. The coating also prevents oxygen release and promotes structural stability, leading to potential energy output increases and longer lifetimes.
A team of experts has reviewed literature on various methods used to characterize lithium-ion battery performance, providing guidance on the most appropriate test method for a given situation. The study aims to improve comparability of battery innovations tailored to different applications.
The Versatile Test Reactor will allow scientists to test various fuels, coolants and reactor components to evaluate new technologies for future generations of advanced nuclear reactors. The reactor's experimental configurations will provide key information to scientists as they work to develop innovative reactor designs.
Scientists have found a surprising quantum effect in cobalt-iron alloy materials commonly used in hard disk drives. By controlling electron spin direction, the researchers can alter magnetic state, allowing for more efficient information storage and potential applications in electric motors, generators, and magnetic bearings.
Chain Reaction Innovations' third cohort of five new innovators will leverage Argonne National Laboratory's resources to develop market-ready businesses. The program aims to accelerate energy and science technologies, with a focus on water sensing, hydrogen technologies, and energy storage.
A new root algorithm developed by Beth Drewniak improves the Energy Exascale Earth System Model's ability to simulate vegetation growth and respond to changes in resources. The dynamic root model addresses both water uptake and nitrogen allocation, enabling plants to thrive in varying environmental conditions.