Articles tagged with Material Properties
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Active matter systems, which can move under their own power, have been found to spontaneously order without higher-level instructions. Researchers developed a theory that predicts certain types of active matter will enter
Professor Andreas Walther receives EUR 2 million in EU funding to develop metabolic mechanical materials that can adapt, learn, and interact. The goal is to create a form of coevolution between synthetic materials and living cells, blurring the boundaries between animate and inanimate matter.
Researchers have discovered a physical mechanism that gold nanoparticles use to kill bacteria by deforming their cell walls. This mechanism could lead to the development of new bactericide materials as an alternative to antibiotics.
Researchers at the University of New Mexico have found that combining certain polymers and oligomers with UV light can almost completely kill the coronavirus. This method provides a fast-acting and highly effective coating that reduces virus concentrations by five orders of magnitude.
Researchers at EPFL have developed a perovskite material that can detect gamma rays with high efficiency, meeting the requirements for simple, reliable, and cheap detectors. The material, made of methylammonium lead tribromide crystals, shows high clarity and can be grown from abundant and low-cost raw materials.
Purdue University scientists have created a patterned sheet of domes that can store energy in its skin, enabling strong mechanical tasks and programmable data processing. The technology has potential applications in flexible robotics and mechanical computing, where energy storage and efficient processing are crucial.
Scientists create miniscule robots with plastic chassis and magnetic metal wheels, powered by rotating magnetic fields, opening up applications for delivering medications and treating aneurysms.
Researchers at EPFL create composite polymers with unique properties by encapsulating monomers in compartments and using UV radiation to polymerize them. The resulting material is exceptionally strong and can withstand heavy loads without damage.
Researchers from Tohoku University developed a new method for creating MOF thin films with designable pores, opening up its use for humidity sensing, gas sensing and resistive switching devices. The 'layer-by-layer' method involves sequential immersing of substrates into ingredient solutions.
Scientists have developed a way to produce nylon fibers that are piezoelectric, generating electricity from simple body movement. This breakthrough technology could lead to smart clothes that monitor health and charge devices without external power.
Researchers studied Germanium telluride crystals at the nanoscale to understand its ferroelectric properties and their potential applications in non-volatile spintronic devices. The study found two distinct types of boundaries surrounding ferroelectric nanodomains with sizes between 10 to 100 nanometres.
Scientists at the University of Turku discovered that titanium is key to hackmanite's glow and developed a material with a longer afterglow. The study reveals complex composition differences in natural minerals and their role in luminescence, offering valuable insights for synthetic materials development.
A new technique allows reliable atomic-resolution images of hybrid photoactive perovskite thin films, unlocking insights into their atomic makeup and properties. The breakthrough enables researchers to study grain boundaries and crystal defects with unprecedented precision.
Researchers at Seoul National University have developed an air-stable color conversion layer using perovskite nanocrystals and a flexible polymer matrix, enabling the creation of stretchable displays that can be bent, stretched, and attached to the skin. The new material has shown improved stability and photoluminescence intensity unde...
Researchers at the University of Texas at Austin have developed a method to fabricate large quantities of Molybdenum Disulfide (MoS2) in a controlled and tunable dimension, making it an attractive material for water treatment and various applications. The process reduces production costs by 3,000 times compared to previous methods.
Researchers at UQ and KTH discovered how plant cell walls balance rigidity with flexibility, thanks to a family of polymers called hemicelluloses. This breakthrough has wide applications in nutrition, medicine, agriculture and more.
Researchers at Tokyo Institute of Technology have developed a highly efficient blue-emitting semiconductor material Cs5Cu3Cl6I2, which can produce white light while reducing energy consumption. The new material has unique properties that make it more stable and eco-friendly than existing alternatives.