Articles tagged with Materials Processing
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.
Researchers at KAUST have developed a synthetic approach to generate homogeneous and defect-free crystals that could fast-track the commercialization of perovskite solar cells. The new single-crystal films exhibit lower defect density and higher charge-carrier diffusion lengths, leading to high-quality solar cells with a maximum power-...
A newly developed aerogel material can passively capture solar heat, reaching temperatures of up to 220°C in tests. This could enable lower-cost and simpler solar heat collection systems for various industrial and domestic uses.
Researchers discovered a new topological insulator in Ba2CuSi2O6Cl2, generating attention for energy-efficient information transmission and processing. The study found non-dissipative electron flow on the surface of topological insulators.
Isabelle Denry received the 2019 Wilmer Souder Award in Dental Caries Award for her contributions to ceramic development and bone replacement. Her research focuses on resorbable bioactive glassceramic scaffolds for dental applications.
Osaka University researchers link time-resolved microwave conductivity measurements to photocatalytic performance, enabling rapid screening of clean energy generating materials. This approach accelerates the development of hydrogen-producing materials, increasing efficiency and reducing processing time.
Researchers propose a new graph theory-based paradigm to improve material identification, focusing on topological relationships rather than bond length and angle. This method achieves automatic deduplication for the first time, identifying 626,772 unique structures from 865,458 original structures.
Researchers discovered that adding cesium and rubidium to the synthesis process makes the resulting solar cell more chemically homogeneous and facilitates its formation. This understanding will illuminate future work in developing more efficient halide perovskite solar cells.
Researchers developed an alternative method to evaluate local magnetization switching efficacy in ultrathin ruthenium-cobalt-ruthenium films with a wolfram layer added. The study revealed that adjusting the materials' layers thickness can change magnetic parameters, increasing spin switching efficacy.
Researchers found evidence of 'tool kit' at Qesem Cave that was created by reusing discarded flint tools. The tiny, sharp objects were used with precision to process animal products, vegetal materials, and plant tubers.
Researchers from the University of Minnesota and University of Massachusetts Amherst have discovered a way to speed up chemical reactions using oscillating catalysts. This breakthrough could significantly reduce equipment costs and increase production efficiency in various industries.
This study reveals complex deformation and metamorphism processes, melt/fluid interactions with crust-mantle rocks, and material circulation in subduction zones. Crust-mantle physical interactions control geometry, tectonic associations, and chemical interaction in orogen and mantle wedge.
Researchers at Simon Fraser University developed a theory that predicts maximum efficiency and minimal energy loss in molecular machines. By manipulating DNA hairpins, they demonstrated a strategy to optimize nanomachines, which could lead to significant advancements in fields like computer chips, solar cells, and biotechnology.
A new study reveals a 'threading' mechanism where linear molecules thread through ring polymers, causing shape fluctuations under fluid flow. This insight may lead to new processing methods for sustainable polymer materials.
Researchers have discovered that granular materials, such as sand and coffee, exhibit similar behavior to immiscible liquids when fluidized. This phenomenon has significant implications for industries like pharmaceuticals and energy production, where efficient processing of granular materials is crucial.
Scientists at Berkeley Lab created a next-generation plastic that can be recycled endlessly without losing its properties. The new material, poly(diketoenamine), can be disassembled and reassembled from its constituent parts, allowing for the recovery of original monomers.
Researchers at MIT have created liquid-impregnated surfaces that can significantly reduce friction for yield-stress fluids like gels and pastes. These coatings enable the efficient processing of materials in industries such as food, cosmetics, and pharmaceuticals, reducing waste and improving product quality.
Researchers from Tohoku University have developed artificial neuron and synapse devices using spintronics technology, mimicking the brain's architecture. The devices demonstrated fundamental behavior of biological neurons and synapses, including leaky integrate-and-fire and spike-timing-dependent plasticity.
Scientists at Peking University control crystal growth and material assembly by utilizing fluid flows. A stable single vortex is produced, enabling oriented deposition of materials.
Researchers at MIT have developed a novel polymer membrane that dramatically improves the efficiency of natural gas purification while reducing environmental impact. The membrane can process natural gas quickly and effectively, removing more carbon dioxide than traditional materials.
Researchers developed new plastic films that deflect or trap heat with zero energy required. The versatile materials can be used to regulate the temperature of buildings and people, and have potential applications in wearable technologies and solar cells.
The University of Pittsburgh's Swanson School of Engineering has received four prestigious NSF CAREER Awards, totaling over $2 million in funding. The awards recognize faculty who exemplify outstanding research, education, and community engagement.
Researchers at Peking University have developed a new model that uses artificial intelligence to predict the distance between atoms in materials. By modifying the size of ions, they were able to achieve more accurate results than current models, with an average deviation of less than 0.1 Å.
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.
Researchers from the University of Seville applied Life-Cycle Assessment (LCA) to the Roman Theatre of It¡lica to reduce its environmental impact. The study developed tools that integrate LCA and BIM software to make environmental-impact reduction criteria part of the design process.
Researchers from the University of Luxembourg have demonstrated a comprehensive understanding of neutron scattering techniques for analyzing magnetic materials. The study focuses on analysis techniques for superconductors, permanent magnets, shape-memory alloys, ferrofluids and other magnetic materials.
Researchers developed a virtual frame technique that enables ordinary digital cameras to capture millions of frames per second for several seconds while maintaining high spatial resolution. This allows for the direct imaging of dynamic cracks as they form, enabling the study of fracture toughness and properties of construction materials.
GraphON is a conductive coating that can be manufactured cheaper and easier than comparable products, with greater control over performance. It has potential uses in electrostatically dissipative coatings, electromagnetic interference shielding, electrical heating and conductive coatings.
Researchers found that when compressed, cubic boron arsenide's heat conductivity improves initially but then deteriorates due to competition between different processes. This behavior has never been predicted or observed before and challenges conventional understanding of heat conduction.
Dr. Ana C. Alba-Rubio creates a dual-function material that captures and transforms carbon dioxide into methanol and higher alcohols, producing electricity with minimal energy requirement, corrosion, and transportation issues.
A machine learning approach predicts changes in material properties from straining the material, enabling the engineering of new materials with tailored properties. The technique has implications for industries such as communications, information processing, and energy.
Researchers from the University of Münster have developed a novel thin-film organic phototransistor array using small-molecule 2,6-diphenylanthracene. The device shows high photosensitivity, photoresponsivity, and detectivity, outperforming state-of-the-art OPTs.
A team from Kiel University has developed an ultrafast camera system that films the motion of electrons in solids. The camera, which operates at a temporal resolution of 13 femtoseconds, allows researchers to study fundamental processes involved in the conversion of light energy into electricity.
Researchers have demonstrated electronic switching in an exotic, ultrathin material at room temperature, reducing energy loss and increasing efficiency for transistors. The breakthrough uses sodium bismuthide (Na3Bi), a 'topological Dirac semimetal' that can be tuned to behave like a conventional or topological material.
MIT engineers develop a new technique to test soft materials' properties by mimicking the sound sequences used by bats and dolphins in echolocation. This approach enables rapid characterization of materials such as drying cement, clotting blood, or saliva over time.
Researchers have developed two new approaches to 3D imaging with X-rays, enabling unprecedented detail in disease-screening, materials development, and structural information of opaque objects. The methods, including ghost imaging and single-shot techniques, reduce X-ray doses and destroy samples, paving the way for cheaper, more readi...
Scientists at TU Graz analyzed nano-precipitates to understand aluminium alloy properties, discovering anomalies and self-organisation phenomena. Quantum mechanics and Monte Carlo methods revealed the formation of atomically narrow channels for scandium and zircon diffusion.
Researchers developed a Computer-Aided Material Design (CAMaD) system that extracts information related to fabrication processes and material structures and properties, enabling the summarization of knowledge from thousands of scientific articles in a single chart. This allows for rationalizing and expediting material design.
Researchers at Harvard's Wyss Institute developed a liquid-gated membrane system that filters nanoclay particles out of water with high efficiency, reducing fouling and pressure requirements. This innovation has the potential to save energy and improve industrial processes in various industries.
Researchers have successfully created complex multi-principle element transition metal dichalcogenides with unique quantum phenomena. By combining layered TMDCs using ball-milling and reactive fusion, they have demonstrated the possibility of forming 3D-heterostructured architectures with tunable properties.
Rare earth ions exhibit potential for storing quantum states and interacting with each other, enhancing computation capacity. Researchers aim to establish scalable quantum technologies using these elements.
The Texas A&M Center for Research Excellence on Dynamically Deformed Solids (CREDDS) will explore advanced manufacturing processes and new materials for nuclear weapon refurbishment. The center will also train the next generation of scientists and engineers to ensure the safety, security, and effectiveness of the US nuclear deterrent.
A novel machine learning framework developed by Virginia Tech researchers accelerates the discovery of new materials through computer simulations. The framework, which trains on the fly, enables faster development of accurate computational models of materials with potential biomedicine and energy applications.
Researchers at NIST have developed a novel light-based technique to measure the mechanical and flow properties of materials during the curing process in real-time. This allows for fast and accurate optimization of processing conditions for various materials, from biological gels to stiff resins.
Engineers at Washington University in St. Louis have discovered the activation energy and kinetic factors of calcium carbonate's nucleation, key to predicting and controlling the process. This research can help create nanomaterials, control nanoparticle properties, and aid in designing larger-scale engineering processes.
Researchers are assessing six types of low-permeable rock formations as potential barriers to isolate nuclear wastes. The goal is to understand how radioactive atoms and liquids move through these rock formations to enhance isolation.
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.
Scientists at KIT discovered a sharp line at a depth of 150-200 nm where wear particles are detached, contributing to the later weakness in the material. This finding contributes to understanding processes on the molecular level during friction and may lead to developing materials with better friction properties.
Researchers at NIST and WTEC advocate for a collaborative approach to nanoparticle manufacturing, highlighting the importance of sharing knowledge and resources across disciplines. The study identifies common challenges in material, process, and application, suggesting that solving these problems could advance the entire enterprise.
University of Illinois researchers found that dry-milling process removes majority of phenolics from corn kernels. Despite this, heat can release bound forms of compounds and improve antioxidant content in corn-based foods.
A new study reveals that entangled, long-chain polymers in solutions relax at two different rates, marking an advancement in fundamental polymer physics. The findings will provide a better understanding of the physical properties of polymeric materials and individual polymer molecule behavior under high-stress processing conditions.
The lab provides datasets to support emergency response in Hawaii following volcanic eruptions, enabling quick identification of vulnerable structures. Researchers also develop super-stretchy polymers with self-healing abilities and create a scalable processing technique for 3D printing plant-based materials.
Scientists at ETH Zurich develop a controlled quantum system with two coupled order parameters, enabling the creation of diverse phase diagrams and exploring complex interactions. The platform provides a unique tool for studying technologically relevant materials and simulating their properties.
Researchers at the University of Otago are testing Pulsed Electric Field (PEF) processing equipment for large-scale French fry production. The technology enhances processing by altering potato microstructure, reducing oil uptake and waste, while increasing durability and yield of other food products.
The China ban on non-industrial plastic waste has displaced around 111 million metric tons of plastic waste, which was previously exported to the country. This shift will require high-income countries to develop more robust recycling programs domestically and rethink the use and design of plastic products.
A team of researchers from Texas A&M University and Sandia National Laboratories successfully improved the mechanical properties of bulk magnetic alloys through microstructural refinement. The findings show that the severe plastic deformation process can produce high-performance alloys with superior mechanical environments.
Renkun Chen is developing a non-contact infrared camera to rapidly measure thermophysical properties of CSP plant materials at high temperatures. The tool aims to provide inexpensive and convenient evaluation of CSP performance, enabling continuous monitoring over decades.
Studies found that humans use efficient cues to discriminate between reflective and transparent materials, estimating material states without needing all information. Researchers developed a model correlating closely with human perception, suggesting simple information processing in the brain.
Researchers use neutron tomography to study teeth, root balls, batteries, and fuel cells with improved spatial resolution and faster image acquisition. This non-destructive method provides valuable information for optimizing material design.
Researchers develop MOF, a hybrid material with porosity, enabling control over metallic nanostructures and their applications in catalysis and battery stabilization. The innovative methodology allows for precise control of material design, paving the way for diverse uses of these materials.