The University of Texas at El Paso has received a $917,000 grant from the Air Force Office of Scientific Research to develop advanced materials for national defense, power electronics, and security. UTEP students will perform cutting-edge research on gallium oxide-based semiconductors.
New 3D printed sinusoidal spacers successfully decrease membrane fouling by an additional 10% compared to conventional spacers. The design addresses the issue of local dead zones, which can promote membrane fouling.
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Garmin GPSMAP 67i with inReach provides rugged GNSS navigation, satellite messaging, and SOS for backcountry geology and climate field teams.
The study found that certain grain boundaries in strontium titanate exhibit enhanced thermal expansion, leading to potential material failures. This discovery highlights the importance of grain boundaries in material properties and has implications for selecting suitable materials for various applications.
Researchers from Osaka University have successfully grown high-quality magnetite thin films on a hexagonal boron nitride substrate without compromising the film's properties. This breakthrough enables the development of flexible spintronics devices with preserved electronic and magnetic properties.
Researchers have synthesized a new form of carbon glass with three-dimensional bonds, the hardest known glass material. The discovery has potential for mass production and opens up new possibilities in devices and electronics.
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SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.
Scientists from City University of Hong Kong successfully developed battery-like electrochemical Nb2CTx MXene electrodes with stable voltage output and high energy density. The findings break the performance bottleneck of MXene devices, exhibiting superior rate capability, durable cyclic performance, and high energy density.
Researchers discovered a graphene-like material called magnetene that exhibits ultra-low friction, contrary to predictions based on Van der Waals forces. Quantum effects play a crucial role in its behavior, making it suitable for use in micro-electro-mechanical systems and implantable devices.
Researchers at the University at Buffalo have created model protein-RNA droplets with properties similar to those of viscoelastic Maxwell fluid and Silly Putty. These droplets exhibit dual behavior, acting like both elastic solids and viscous liquids, depending on the timescale.
Osaka University researchers have successfully synthesized a stable, crystalline nanographene with predicted magnetic properties, opening the door to revolutionary advances in electronics and magnets. The breakthrough uses a simplified model system called triangulene, which has long been elusive due to polymerization issues.
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Researchers at UNSW have developed liquid metal enabled continuous flow reactors that can produce materials with tuneable system performance and controlled material quality. The systems rely on surface tension to pump fluids, eliminating the need for mechanical parts.
Researchers from Washington University in St. Louis have discovered a new type of exoplanet known as 'eggshell planets,' which are likely to have little topography and no plate tectonics. These planets may resemble the lowlands on Venus, with vast expanses of lava but little high-standing terrain.
A team of physicists has discovered how DNA molecules self-organize into adhesive patches between particles in response to assembly instructions. This breakthrough enables the creation of materials with tailored structures and customizable properties.
A team of engineers at the University of Arizona is using machine learning methods to monitor and mitigate defects in additive manufactured metal parts designed for use in extreme environments. The system combines data processing, process optimization, materials analysis, and machine learning to predict defects.
A team of researchers at the University of Konstanz has developed a new method for producing polyethylene with added polar groups, which enhances its degradability while maintaining its durability. The new plastic exhibits slow chain degradation in simulated sunlight, unlike conventional polyethylenes.
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Researchers from the University of Groningen and Lawrence Livermore National Laboratory created ultra-lightweight yet extremely stiff porous materials by stacking carbon tubes with a strutted tube-in-tube structure. This innovative design enables new applications in micro-electromechanical systems and other small devices.
Researchers at Lawrence Berkeley National Laboratory have discovered a new path forward for processing titanium. Cryo-forging at ultra-low temperatures produces extra-strong nanotwinned titanium with improved strength and ductility. The material maintains its structure and properties at extreme temperatures, demonstrating its versatility.
Researchers have developed a 3D-printed design that mimics the behavior of auxetic materials, used to absorb and distribute impact forces. The design, made from bioplastic, can potentially replace steel and fiber-reinforced polymer mesh reinforcements in composites.
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Researchers created a sulfur-selenium alloy that outperforms traditional coatings in protecting steel from corrosion and oxidation. The material's self-healing properties allow it to recover from scratches and damage, making it suitable for infrastructure applications.
Researchers used machine learning to analyze core-loss spectroscopy data, revealing connections between spectral data and material properties. The study successfully predicted intensive and extensive material properties, enabling high-throughput development of new materials.
Researchers at EPFL have created a topological insulator that allows microwave photons to survive unprecedented levels of disorder and obstacles. This discovery holds great promise for advances in science and technology, particularly in the development of next-generation communication systems and photonic processors.
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UNSW researchers stabilize a new intermediate phase in a room-temperature multiferroic material under stress, boosting electromechanical response by double its usual value. This breakthrough has exciting implications for next-generation devices and provides a valuable technique for international material scientists.
Researchers have characterized five different defect types in perovskite solar cells, revealing that a large proportion of defects release trapped charge carriers. This finding may explain the high efficiencies of MAPI perovskites and paves the way for optimizing these materials with improved stability.
Scientists discovered structural and surface chemistry defects in superconducting niobium qubits that may cause loss. The study pinpointed these defects using state-of-the-art characterization capabilities at the Center for Functional Nanomaterials and National Synchrotron Light Source II.
Researchers at IOCB Prague have developed a novel antibacterial material called NANO-LPPO that can prevent infection and facilitate treatment of skin wounds. The material combines lipophosphonoxins with a nonwoven nanotextile, which releases active substances in response to bacterial presence.
Researchers at Aalto University created intricate shapes like letters by manipulating tiny metal balls with vibrating plates and energy fields. The smart algorithm efficiently guided the particles to achieve desired shapes, inspired by natural phenomena like wind and water.
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Researchers developed a theoretical model to predict the strength of millions of alloys at high temperatures. Experiments confirmed the predictions, highlighting the importance of edge dislocations in determining yield strength in complex high-entropy alloys.
Researchers from Kaunas University of Technology and the University of Helsinki have developed a nutritious meat analogue using fermented okara, which can help alleviate digestive problems due to its probiotics. The product contains less salt and saturated fats than real meat while maintaining protein levels.
Researchers synthesized a new conjugated polymer using two chemical reactions, showing it outperforms traditional methods in organic and perovskite solar cells. The Stille reaction pathway yielded superior results with efficiencies of up to 15.1% in photovoltaic devices.
A new study reveals the emergence of magnetism in a 2D organic material due to strong electron-electron interactions in its unique star-like atomic-scale structure. The findings have potential applications in next-generation electronics based on organic nanomaterials.
Researchers from the University of Tsukuba have discovered that ultraviolet light can modulate oxide ion transport in a perovskite crystal at room temperature. This enables the enhancement of future battery and fuel cell functionality by increasing energy storage and output efficiency.
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Celestron NexStar 8SE Computerized Telescope combines portable Schmidt-Cassegrain optics with GoTo pointing for outreach nights and field campaigns.
Lehigh University researchers are developing a model to understand the impact of grain growth on material properties. The project aims to create new materials informatics methods, innovative stochastic differential equations, and models of grain growth to improve material performance and reliability.
Researchers have discovered a new material that can produce beautiful optical phenomena, including concentric rainbows. The technology has potential applications in aiding autonomous vehicles in recognizing traffic signs, particularly in real-world conditions.
Researchers observed ghost polaritons in calcite crystals, enabling superior control of infrared nano-light for various applications. The discovery features highly collimated propagation properties and record-long distance propagation at room temperature.
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Researchers from Pusan University developed a super-stretchable, deformable, and durable material for 'super-flexible' alternating current electroluminescent devices. The material was successfully applied in devices that functioned with up to 1200% elongation, displaying stable luminescence over 1000 cycles.
Scientists create a cell culture system where blood vessels can grow within a framework made of synthetic materials. The team investigates material properties that promote blood vessel formation and refines the model to improve its performance, paving the way for growing implantable tissues.
Researchers from Skoltech and KU Leuven used machine learning to reconstruct 3D micro-CT images of fibrous materials, overcoming the difficulties faced by humans in analyzing these complex materials. The team employed GANs to fill a gap in available inpainting tools, enabling precise material analysis and simulation.
A team of researchers at Tokyo University of Science has developed a stable and highly active photocatalyst from gold nanoclusters. By removing the protective molecules around the nanoclusters, they were able to increase their catalytic activity and stability, opening up new possibilities for hydrogen generation and other applications.
The Center for Adapting Flaws into Features will explore chemical defects to optimize material properties, with a focus on creating better catalysts and electronics. The team aims to develop new approaches towards transformative technologies by leveraging advanced microscopy, spectroscopy, and data science.
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Researchers at the University of Basel have developed new luminescent manganese complexes with promising properties, including improved efficiency and stability. These findings offer a potential solution for more sustainable energy production and could lead to the creation of water-soluble variants for medical applications.
Researchers developed a machine learning model to predict bond characteristics, such as binding energy and Fermi energy, based on individual component parameters. The model achieved accurate predictions across various systems, offering potential benefits for material design and development in fields like catalysis and nano clusters.
Researchers employed DNA barcoding techniques to identify plant species used by wild New Caledonian crows to fashion complex hooked stick tools. The study found that Mimusops elengi was the primary raw material used, providing insights into variation in crows' preferences and plant availability.
Researchers propose a new model that takes into account spatial and energy disorder in disordered media. The model provides relationships between the parameters of the dielectric function and the microscopic structure of the medium, enabling the extraction of valuable information about structural and dynamic processes.
A novel graphene-based nanozyme was developed using Ganoderma lucidum extract polysaccharides, enabling high sensitivity and selectivity detection of L-cysteine in serum. The study published in Analytical and Bioanalytical Chemistry demonstrated improved stability and dispersion of the nanozyme in water.
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Researchers have created DNA-based materials with tunable properties, which can be controlled by adjusting the level of supercoiling. These materials have potential applications in drug delivery and tissue regeneration.
Researchers from Skoltech developed a simple redox-active polyimide with promising features in various energy storage devices. The new material showed high specific capacities, relatively high redox potentials, and decent cycling stability.
Researchers at Skoltech have developed an enriched approach to boost the capacity of next-generation metal-ion battery cathode materials, applicable to lithium-ion and alternative batteries. The scalable method uses reducing agents, which can be recycled after use, making it suitable for large-scale applications.
Researchers at the University of Stuttgart have successfully identified promising quantum bits in two-dimensional materials. The discovery enables robust generation, reading out, and control of quantum bits, paving the way for a new boost in quantum technologies.
Rice University engineers have developed a new technique using neural networks to predict the evolution of microstructures in materials, which can be used to design new materials with desired properties. The method has been shown to speed up computations significantly, making it easier to create novel materials.
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Researchers at Argonne National Laboratory found that tuning the surface of lanthanum cobalt oxide perovskites with strontium enhances their activity and stability for the oxygen evolution reaction. This breakthrough could lead to more efficient and cost-effective methods for producing hydrogen fuel.
Researchers at KAIST develop M3I3 Initiative to speed up materials development using multiscale/multimodal imaging and machine learning. The team creates a quantitative model using machine learning and presents a future outlook for advancements in materials science.
Scientists have found a way to create polarity and photovoltaic behavior in non-photovoltaic 2D materials by arranging them in a special way. The resulting effect is different from traditional solar cells and shows promise for future solar panel improvements.
Researchers at NC State University developed a virtual laboratory to determine the most suitable AI tools for addressing various chemical synthesis challenges in flow chemistry systems. By simulating over 600,000 experiments, they found the best AI-guided decision-making strategies, reducing the time and reagents required by 97.5%.
The study of Cs2PbI2Cl2 reveals a threefold increase in photoconductivity at 2 GPa, comparable to 3D halide perovskites. Pressure regulation modifies excitonic features, reducing exciton binding energy and facilitating carrier dissociation.
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Researchers used machine learning to identify different areas of interest on 2D materials, such as doping, strain, and electronic disorder. This automation could significantly accelerate the application of these materials in next-generation energy-efficient computing and smart-phones.
Scientists from the Kleij group have created a new method for preparing biobased polyesters by transforming a terpene, β-elemene. The resulting polymer can be tailored through post-modification reactions to achieve desired properties.
Osaka University researchers employed machine learning to design new polymers for photovoltaic devices, virtually screening over 200,000 candidate materials. They found promising properties consistent with predictions, leading to potential breakthroughs in functional material discovery.
Researchers at Tokyo Metropolitan University used high-speed video microscopy to observe individual foam collapse events. They found that cracks in films lead to a receding liquid front, sweeping up the original film border and releasing droplets that break other films.
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Researchers from Ruhr-Universität Bochum and University of Copenhagen developed an approach to predict optimal composition and confirm accuracy with high-throughput experiments. The strategy enables identification of complex mechanisms at surfaces consisting of five chemical elements, overcoming limitations of previous catalysts.
Researchers developed a numerical model to predict the upward-to-downward reflection ratio of glass bead retro-reflective materials in urban canyons. The study found that retro-reflectivity increases from morning to noon, then decreases, contributing to UHI mitigation and reduced building energy consumption.
OHIO researcher Jason Trembly received two $500,000 grants to develop carbon-based building and construction materials reducing greenhouse gas emissions and increasing sustainability. The team aims to create carbon foam and piping materials with lower manufacturing costs and equivalent properties.