Researchers have developed a permanent static negative capacitor that can redistribute electricity on a small scale, improving computing efficiency. The device works as a steady-state, reversible system, allowing for controlled voltage distribution and increased energy efficiency.
Researchers at Argonne National Laboratory developed a new molecular model of water using machine learning, achieving high accuracy and reducing computational cost. The coarse-grained model replicates the behavior of water at the atomic scale, with applications in fields like materials science and climate modeling.
Scientists have identified a way to convert cyclohexane to useful products at lower temperatures, reducing the need for energy and minimizing unwanted byproducts. The new catalysts work at temperatures as low as 100°C, protecting intermediate products from further conversion.
Argonne National Laboratory collaborated with AT&T on a climate resiliency project to develop a Climate Change Analysis Tool, providing high-resolution forecasting insights for anticipating climate change impacts. The tool helps AT&T anticipate potential risks in its network infrastructure and business operations 30 years into the future.
Researchers developed a new technique combining optical tweezers with high-powered X-rays to position and manipulate crystals in solution. This allowed them to observe reactions as they occurred, revealing sub-nanometer scale defects and grain boundaries within the ZnO microcrystal.
A researcher at Argonne National Laboratory has developed a faster way to create molecular models, accelerating the screening of potential new organic materials for electronics. The approach uses machine learning to predict electronic properties and enables scientists to screen more packing arrangements than before.
The Argonne National Laboratory's Aurora supercomputer will revolutionize scientific research and discovery with its exaFLOP performance and ability to handle both HPC and AI. The system is expected to have a significant impact on various fields, including cancer research, climate modeling, and veterans' health treatments.
An international team of scientists successfully reversed the flow of time on IBM's quantum computer, simulating a particle's scattering and returning it to its initial state. The breakthrough could lead to more efficient quantum computer operation and improved error correction methods.
Researchers have discovered a persistent pattern in the arrangement of islands that form on crystal surfaces during layer-by-layer growth. The study uses coherent X-ray scattering to reveal correlations across the sample, providing insights into crystal growth dynamics and potential applications in materials science.
Researchers at Argonne National Laboratory create a new technique called ultrafast surface X-ray scattering to study the motion of atoms in single atomic crystals. The method reveals counterintuitive effects on atomic behavior, shedding light on the properties of two-dimensional materials.
Researchers studied mineral reactions using a technique called coherent diffraction imaging, revealing the formation of hematite and strain within iron oxide particles. The findings provide new insights into how minerals react in different conditions, with implications for understanding natural systems.
Researchers at Argonne National Laboratory have developed a unique, tiny resonator that can produce a spectrum of evenly spaced frequencies in response to a single signal. This innovation could lead to more complex electronic devices and applications in biology and other fields.
Researchers at Argonne National Laboratory and University of Cambridge used supercomputing and machine learning to identify five high-performing organic dye materials for dye-sensitized solar cells. The study demonstrates the full cycle of data-driven materials discovery, from simulation to laboratory testing.
Researchers have obtained the highest-resolution structure of the fungal protein Hsp104, a hexameric AAA+ protein that helps repair misfolded proteins. The study's findings reveal a helical structure for Hsp104 hexamers, contrary to previous beliefs, and provide new insights into its function.
Researchers have identified the causes of gas pockets in 3D printing, which can lead to cracks and failures. The study used high-energy X-rays to predict when these pockets will form, enabling better control over the printing process.
The SPHEREx mission, led by Caltech and managed by NASA's Jet Propulsion Laboratory, will conduct an all-sky spectroscopic mapping of the universe. Argonne researchers will contribute to the mission's cosmological simulations, galaxy identification, and large-scale structure analysis.
A newly isolated human gut bacterium, Evtepia gabavorous, has been found to have a surprising dependency on gamma-aminobutyric acid (GABA) and its metabolism is highly linked to mental health. Research suggests that low abundance of the Bacteroides fragilis bacteria may be associated with elevated brain activity during depression.
Researchers used X-rays to study lithium ion transport in batteries, revealing how fast charging causes lithium plating and reduces battery performance. The study aims to improve fast-charging technologies for electric vehicles.
Researchers have developed a new technique to recover lost information in quantum systems by repeating experiments with slightly different noise characteristics. This method effectively reduces quantum noise without the need for additional hardware.
The AFLEET Tool and its online version enable fleet managers to compare the costs and benefits of alternative fuels and vehicle technologies, optimizing their purchasing decisions. With over 8,000 users, the tool is based on Argonne's GREET model and provides a comprehensive and easier way to make informed decisions.
Researchers have created a theory describing the behavior of superinsulators, which shares properties with quarks. The discovery may lead to experiments that provide conclusive evidence for quark confinement and asymptotic freedom, revolutionizing our understanding of fundamental particles.
Researchers at Argonne National Laboratory have adapted a chemical reaction pathway from plant biology to convert water into hydrogen fuel using solar energy. The new process combines two membrane-bound protein complexes, Photosystem I and II, to perform a complete conversion of water molecules to hydrogen and oxygen.
Researchers at Argonne National Laboratory are using machine learning algorithms to optimize engine simulations, significantly reducing design time and increasing accuracy. The project aims to create a more efficient and emissions-free combustion process, with potential applications in the automotive industry.
Researchers at Argonne National Laboratory have created twisted electromagnetic waves using magnetic defects, allowing for precise imaging of material properties. This breakthrough could lead to the development of new devices and a deeper understanding of chiral materials.
The U.S. Department of Energy has approved the technical scope, cost estimate and plan of work for an upgrade of the Advanced Photon Source (APS), a major storage-ring X-ray source at Argonne National Laboratory. The resulting facility will allow researchers to view matter at the atomic scale in three dimensions, opening new frontiers ...
Researchers have developed a novel platinum-cobalt core-shell alloy catalyst that improves the utilization of platinum in fuel cells, enabling the use of smaller amounts of the costly precious metal. The new catalyst also enhances durability compared to previous technologies.
Researchers at Argonne National Laboratory are developing a machine learning-based framework called BLAST to accelerate and simplify materials modeling and simulation. This software will enable companies to quickly perform molecular dynamics simulations needed for new material vetting, with applications in polymers and steel alloys.
Argonne researchers develop HyMag magnets increasing electric motor efficiency; Darshan software optimizes scientific data access; GRID-M provides near-real-time disaster supply chain status; Swift/T enables large-scale supercomputer calculations. These technologies have been recognized for their impact on various industries and fields
Min Si, an assistant computer scientist at Argonne National Laboratory, has received the Institute of Electrical and Electronics Engineers (IEEE) Award for Excellence in High Performance Computing. Her research focuses on dynamic communication models and runtime systems for heterogeneous environments.
The U.S. Department of Energy's Office of Science has awarded 62 projects under the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program for 2019. These projects aim to tackle some of the world's most challenging science problems using cutting-edge computational methods and resources.
Maria Goeppert Mayer's groundbreaking nuclear physics research at Argonne earned the lab a historic physics site designation. The 'shell' model of the atomic nucleus she developed remains the basis for modern understanding of nuclear structure.
The partnership will boost the Chicago-area innovation ecosystem by providing a new model for manufacturing high-tech start-ups. Argonne scientists will utilize mHUB's expertise and resources in manufacturing and business modeling to support energy tech-related companies.
The DOE has funded Argonne's high-efficiency latent heat thermal energy storage system (TESS) for use in building applications and process/manufacturing industries. TESS can store waste heat, reducing costs and increasing energy efficiency, especially during periods of high electricity pricing.
Researchers identify CoNb3S6 as a topological material exhibiting an extremely large anomalous Hall effect due to its unique electronic structure. The discovery opens doors for advances in materials science and potential electronic applications.
A collaboration between industry and science aims to improve the longevity of lead batteries by understanding complex chemical interactions. The research will focus on improving the performance of lead batteries using advanced tools and techniques.
The High Performance Computing for Manufacturing (HPC4Mfg) Program aims to optimize production processes, enhance product quality and speed up design and testing cycles using supercomputers. Argonne researchers will work with industry partners and scientists at the ALCF to develop advanced manufacturing technologies.
Lawrence Paul Lewis received the Secretary of Energy's Achievement Award for his work on Puerto Rico's long-term recovery planning after hurricanes. Linda Hansen was also awarded for her leadership in advancing international adherence to the International Atomic Energy Agency Additional Protocol. Both researchers were recognized by the...
The U.S. Department of Energy's Argonne National Laboratory will receive over $11 million in funding for four major projects focused on quantum information science. These studies aim to develop new computing and sensing technologies, including the creation and manipulation of quantum bits and the study of quantum entanglement.
The Energy Secretary has recognized researchers from Argonne National Laboratory for converting a Ghana Research Reactor-1 Miniature Neutron Source Reactor to low-enriched fuel, eliminating a nuclear threat. The team's collaborative efforts reduced the risk of nuclear proliferation while maintaining scientific capability.
Lei Cheng, an assistant chemist at Argonne National Laboratory, receives the Midwest Energy News' 40 Under 40 Award for her work on developing next-generation batteries for a cleaner energy future. Her computer simulations allow for efficient selection and synthesis of battery materials.
Scientists have developed a comprehensive model of electrochemistry that combines existing theories to predict previously unexplained behavior. The Unified Electrochemical Band-Diagram Framework enables the prediction of material properties and behavior in any electrode, including batteries, supercapacitors, and catalysis.
The Joint Center for Energy Storage Research (JCESR) has been renewed by the DOE for another five years, with a total of $120 million in annual funding. The center aims to create next-generation energy storage technologies that will transform transportation and the electric grid.
Scientists have developed a way to wrap photocathodes in graphene to prevent degradation and extend their lifetimes. The thin layer of graphene provides insulation from air without hampering charge mobility or quantum efficiency.
Scientists at Argonne National Laboratory have developed a new method using neural networks to identify the structural signatures of molecular gases. This breakthrough enables researchers to accurately sense unidentified chemicals or scan samples for impurities in a much smaller period of time.
Researchers at Argonne National Laboratory developed nanoparticle coatings that increase the sensitivity of photodetectors to UV radiation, enabling the detection of rare events and potential insights into neutrino oscillations. These enhanced detectors could also be used to enhance visible light in dim environments.
The US Department of Energy has awarded $4.3 million to Argonne National Laboratory to support industry collaborations and accelerate the development of promising energy technologies. The funding will be used to mature energy technologies with high impact, fostering innovation and entrepreneurship in the private sector.
The Joint Center for Energy Storage Research (JCESR) has received the Secretary of Energy's Achievement Award for its significant achievements in developing high-performance, low-cost energy storage technologies. The award recognizes the contributions of 29 individuals across multiple JCESR institutions.
Four Argonne experts earn Distinguished Achievement awards for their work on transportation, sustainability, and mobility. The team created tools to measure alternative fuel technologies and standardized EV charging standards globally.
The U.S. Department of Energy has awarded Argonne National Laboratory a $30 million grant to study ultrafast chemical processes on timescales of quadrillionths of a second. Researchers will use X-ray free-electron lasers to capture molecular movies, enhancing energy efficiency and applications in optoelectronics and solar energy.
Researchers at Argonne National Laboratory used novel tools to study local order in relaxor ferroelectrics, revealing a correlation between butterfly-shaped diffuse scattering and piezoelectric behavior. This discovery could lead to the development of non-lead-based materials with improved properties.