A team of researchers has developed a new screening method to identify defective sensors, enabling the mass production of reliable graphene sensors for detecting toxins in water. The sensors can detect multiple contaminants simultaneously and provide early warning for contamination.
Researchers have found an unusual ultrafast motion in layered magnetic materials, which could lead to breakthroughs in high-speed nanomotors for biomedical applications. The discovery was made using cutting-edge ultrafast probes and facilities, revealing a mechanical response across the entire sample.
Researchers discovered a close relationship between nuclear and electron dynamics, challenging the Born-Oppenheimer approximation. This breakthrough could lead to new ways to control and exploit molecular properties for solar energy conversion, quantum information science, and more.
Scientists at Argonne National Laboratory discovered a new fluoride electrolyte that can protect lithium metal batteries against performance decline. The electrolyte maintains a robust protective layer on the anode surface for hundreds of cycles, enabling the battery to last longer.
Researchers are investigating methods to extract critical materials, including lithium for electric vehicle batteries and magnets for electric motors, from diverse water streams. By accelerating evaporation through porous photothermal materials, they aim to reduce energy intensity and improve supply chain security.
Researchers have successfully characterized a single atom using X-ray beams, detecting its elemental type and chemical properties. This breakthrough could revolutionize fields like quantum information technology, environmental science, and medical research by enabling the study of individual atoms.
A low-cost catalyst developed by Argonne National Laboratory can produce clean hydrogen from water at a lower cost, making it an ideal choice for replacing fossil fuels and reducing greenhouse gas emissions. The new catalyst uses cobalt instead of expensive iridium, significantly reducing the cost and increasing efficiency.
A new fluorine-containing electrolyte has been developed to perform well in sub-zero temperatures, addressing the issue of cold weather affecting electric vehicle battery effectiveness. The research demonstrates how to tailor the atomic structure of electrolytes for low-temperature applications.
Researchers at the Beckman Institute discovered a way to replicate cooperative behavior found in viruses in organic semiconductors. This phenomenon can help enhance the performance of smartwatches, solar cells, and other organic electronics by reducing energy consumption.
Researchers at Argonne National Laboratory have developed a self-driving laboratory called Polybot, which automates electronic polymer research and frees scientists' time to work on tasks only humans can accomplish. The tool combines AI and robotics to streamline experimental processes and accelerate discovery.
Researchers at Argonne National Laboratory and University of Chicago developed a hybrid simulation process using IBM quantum computers to solve electronic structure problems. The new method uses classical processing to mitigate noise generated by the quantum computer, paving the way for future improvements.
Researchers at Argonne National Laboratory have discovered ultrasmall swirling magnetic vortices, known as merons and skyrmions, in an iron-containing material. These tiny magnetic structures show promise for future computer memory storage and high-efficiency microelectronics due to their stability and adaptability to binary code.
Scientists at US national laboratories are developing new chemical recycling methods to make sustainable, high-quality plastic materials. They aim to transform plastic waste into valuable chemicals and reduce plastic pollution, paving the way for a circular economy.
A new method developed by scientists at Argonne National Laboratory and Cornell University converts used HDPE into a fully recyclable and potentially biodegradable material. The approach uses catalysts to break polymer chains, making the material easier to decompose.
Researchers developed a new AI-driven method to detect and predict defects in 3D printed metals, enabling rapid improvements in additive manufacturing. The method uses X-ray imaging and machine learning to identify pore generation in real-time with near-perfect accuracy.
Researchers at Argonne National Laboratory have created a stable spin qubit in a carbon nanotube, achieving record-long coherence times of up to 10 microseconds. This breakthrough enables the integration of quantum devices and provides a platform for storing information through vibrations in the flexible tubes.
A new Argonne study compares drone energy usage to diesel trucks and electric vehicles, finding that drones consume as much energy as either on average windy days. The models are based on regional energy consumption and facility costs of direct delivery drones under various wind speed scenarios.
Researchers have developed a new lithium-air battery that uses a solid electrolyte, boosting energy density four times above lithium-ion batteries. The battery can potentially power cars for over a thousand miles on a single charge and is also suitable for domestic airplanes and long-haul trucks.
A team of scientists developed a new method to distinguish between correlated and independent magnetic fields detected by multiple quantum sensors. This technique uses sophisticated computation and signal-processing techniques, enabling the detection of subtle relationships between microscopic magnetic fields.
A recent study from researchers across 63 institutions, including Argonne National Laboratory, evaluated the impacts of various drivers on energy exchange in the Arctic. They found that vegetation type is a primary predictor of how energy is exchanged during the Arctic summer.
A new study by Argonne National Laboratory has developed a redox-active interlayer that enhances the performance of lithium-sulfur batteries. The technology suppresses polysulfide shuttling, improves capacity and increases cycle life. Researchers are now focused on scaling up the design to achieve commercial viability.
Researchers have developed a new method for recycling high-density polyethylene (HDPE) into fully recyclable and biodegradable material. The approach uses catalysts to cleave polymer chains, reducing carbon emissions and pollution associated with HDPE.
Researchers at Argonne National Laboratory have developed a way to rotate a single molecule, europium complex, clockwise or counterclockwise on demand. This technology could lead to breakthroughs in microelectronics, quantum computing and more.
Researchers at Argonne National Laboratory develop a new method to create crystalline materials with two or more elements, yielding previously unknown compounds with exotic properties. The discovery has potential applications in superconductors, energy transmission, high-speed transportation, and energy-efficient microelectronics.
Scientists are rethinking electrolyte design for future battery generations, considering factors like interphases and solid-state electrolytes. They're using AI and automated laboratories to identify optimal electrolyte characteristics and reduce human error.
Researchers studied the strong nuclear force using nickel-64 nuclei, discovering that they change shapes under high-energy conditions. The team used advanced detectors to analyze gamma rays and particle direction, revealing two possible shapes for the nucleus: oblate and prolate.
Scientists at Argonne National Laboratory have discovered tiny magnetic vortices called skyrmions that could store data in computers, promising 100-1000 times better energy efficiency than current memory. The team used AI and a high-power electron microscope to visualize and study the behavior of these micro-scale magnetic structures.
Researchers have discovered a non-biological material that mimics learning behavior through electrical stimuli, enabling a new generation of supercomputers with AI capabilities. The discovery could overcome the stability-plasticity dilemma in AI development, allowing for more efficient and adaptable computing systems.
Researchers have developed wearable electronics paired with artificial intelligence to detect emerging health problems, such as heart disease and cancer, before symptoms appear. The device can perform personalized analysis of tracked health data while minimizing wireless transmission.
Researchers created a new set of standards, called FAIR, to manage AI models, making them findable, accessible, interoperable and reusable. This standardization enables cross-pollination across teams and reduces duplication of effort, ultimately facilitating scientific discovery.
Researchers at Argonne National Laboratory have identified promising new biofuels that can reduce greenhouse gas emissions by up to 60% while improving fuel efficiency or reducing tailpipe emissions. The biofuels, developed using advanced engine design, can be blended with conventional fuels to improve engine performance and meet more ...
Scientists explore the dynamics of soft materials like toothpaste and hair gel using X-ray photon correlation spectroscopy (XPCS). The technique reveals microscopic dynamics and helps understand properties like viscosity and elasticity. Insights gained can aid in designing consumer products, nanotechnologies, and drug delivery systems.
Researchers aim to create a unified database network for battery data, facilitating AI analysis and predictions. The Battery Data Genome will collect data across the entire battery lifecycle, from discovery to deployment, with uniform standards for metadata.
Researchers used the Advanced Photon Source to study asteroid fragments from Ryugu, finding they were made of water and carbon dioxide ice. The analysis suggests the asteroid formed over 4 billion years ago in the outer solar system, with a hydrated interior and dryer surface.
Researchers at Boise State University and Argonne National Laboratory create high-performance battery electrode material with a unique crystalline structure. The material shows promise for fast charging and excellent storage capacity, potentially overcoming significant shortcomings in lithium-ion batteries.
A new method, XTEC, uses machine learning to analyze large volumes of X-ray data, revealing previously hidden structural changes in materials. This accelerates materials discoveries and unlocks new properties of temperature-sensitive devices.
Argonne researchers develop a new way to calculate the environmental impact of ammonia production, evaluating two promising methods: carbon capture and water electrolysis. The study aims to reduce greenhouse gas emissions and fossil fuel use in fertilizer production.
A new study uses high-resolution regional model experiments to explore how lake surface temperatures may affect the climate of the Great Lakes region. Small differences in lake surface temperatures can have a significant impact on summer climate and fuel extreme weather events.
Using nearly two decades of research and ultrabright X-ray beams, scientists have created a detailed structural map of the nuclear pore complex (NPC), a key regulator of cellular operations. The results provide significant implications for understanding disease mechanisms and developing new treatments.
A new study found that farmers can increase farm revenues and double net profitability by harvesting 30% of corn stover for biofuel production. Removal of the stover also mitigates greenhouse gas emissions, but reduces soil carbon content. The approach could help US agriculture reach its goal of net zero emissions.
Scientists have developed a machine learning algorithm that can accurately predict the lifetimes of different battery chemistries using as little as a single cycle of experimental data. The technique could reduce costs and accelerate the development of new battery materials, enabling researchers to quickly evaluate and test multiple ma...
A team of scientists at Argonne National Laboratory has developed a new qubit platform formed by freezing neon gas into a solid and trapping an electron there. The platform shows great promise in achieving ideal building blocks for future quantum computers, with promising coherence times competitive with state-of-the-art qubits.
Researchers have discovered an elegant equation to approximate the coherence time of materials hosting spin qubits. The team can now estimate coherence times in seconds using just five material properties, facilitating a rapid exploration of new candidate materials.
Researchers found that modeling studies have been assuming colonoscopies are more accurate than they really are, detecting fewer small adenomas. However, colonoscopy still appears effective in finding precursors of cancer.
Researchers use DNA to program metal nanoparticles to assemble into new configurations, resulting in the discovery of three new crystalline phases. The approach enables symmetry breaking and creation of complex colloidal crystal structures with unique optical and catalytic properties.
Researchers at Argonne National Laboratory have discovered a key reason for the performance decline of sodium-ion batteries, which are promising candidates for replacing lithium-ion materials. By adjusting synthesis conditions, they can fabricate far superior cathodes that will maintain performance with long-term cycling.
Scientists have achieved efficient quantum coupling between two distant magnetic devices, which can host magnons and exchange energy and information. This achievement may be useful for creating new quantum information technology devices.
The Texas cold snap highlighted the critical role of electricity in society and the need for improved power system planning to withstand extreme weather events. The event showed that traditional planning based on historical weather patterns is not sufficient, and new information from climate projection models is needed.
Argonne scientists are developing new materials for batteries, researching sustainable fuels, and expanding carbon-free energy sources like nuclear power. They're also exploring ways to capture and utilize CO2, with the goal of reducing greenhouse gas emissions and slowing global warming.
Scientists develop a new framework for creating versatile quantum devices by fine-tuning molecular qubits. This breakthrough enables tailored quantum systems with improved control over spin and photon properties.