Articles tagged with Crystal Structure
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Researchers at the Institute of Industrial Science, The University of Tokyo, have precisely detected quantum tunneling of hydrogen atoms in palladium metal. Hydrogen atoms can pass through energy barriers via quantum tunneling due to 'quantum' effects.
Researchers found that iron oxyhydroxide nanominerals can catalyze the breakdown of harmful plastic additives. The study shows that mineral structure plays a crucial role in determining degradation rates.
Researchers developed a machine learning-based workflow, SPaDe-CSP, to predict crystal structures of organic molecules. The workflow narrows the search space by predicting probable space groups and crystal densities before computationally intensive relaxation steps.
Researchers at Tohoku University unveiled a 77-fold increase in photoluminescence quantum yield by adding a single silver atom to high-nuclear Ag nanoclusters. This discovery paves the way for practical applications in optoelectronics and sensing technologies.
Researchers at Nagoya University have developed a new method to create gallium oxide semiconductors with stable p-type layers, allowing for twice the current capacity of previous devices. This breakthrough enables improved energy efficiency, reduced waste, and lower operating costs for electronics.
Researchers developed a new class of 2.5D MOFs using triptycene-based molecules, enabling high-quality single crystals for detailed structural and functional studies. The materials exhibit strong electronic and magnetic correlations in the interlayer direction, paving the way for next-generation MOF-based technologies.
Researchers have solved the crystal structure of tetra-n-butylammonium bromide hydrate (TBAB) hydrate, a semiclathrate hydrate used in air conditioning. The unique tetragonal superstructure explains its heat storage characteristics and provides new design principles for hydrate-based functional materials.
Researchers from The University of Osaka have devised new mathematical models to describe the mechanics of crystal defects. Using differential geometry, they provided a robust and rigorous framework for understanding these phenomena.
Researchers from the Institute of Industrial Science, The University of Tokyo, used molecular-scale simulations to understand ice formation. They found that the arrangement of water molecules in the two layers closest to the surface is crucial for nucleation, promoting a low-dimensional hexagonal crystal lattice at the surface.
Scientists have developed a novel CT-ICT system that utilizes a pyrazinacene derivative to facilitate reversible color-changing properties. The system, which co-crystallizes with naphthalene, demonstrates a dramatic color shift from greenish-blue to red-violet.
Researchers at TU Wien have discovered a material called murunskite that combines properties of cuprates and pnictides in unexpected ways. Despite the random arrangement of its atoms, murunskite exhibits surprisingly ordered magnetic properties at high temperatures.
A team of scientists at UNIST developed a data-driven structure prediction algorithm that led to the synthesis of three novel porous materials with exceptional selectivity in gas separation. The newly developed materials have significant potential for greenhouse gas separation and purification applications.
Researchers at New York University discovered a new crystal type called Zangenite, which has a hollow structure and unique properties. The crystal was found to form through a two-step process and has potential applications in developing new materials, including photonic bandgap materials.
Researchers at JAIST have developed a low-dose imaging technique that maps the three-dimensional atomic structure of titanium oxyhydroxide nanoparticles without damaging them. This breakthrough enables safer analysis and opens possibilities for designing materials with enhanced functionality.
Researchers at Tohoku University developed a colloidal crystal model to control specific polymorph formation, advancing understanding of polymorph control for material fabrication and drug development. The study found that particle additives can effectively control polymorph formation and probability by size and cluster stability.
A new machine learning algorithm, ShotgunCSP, has been developed to predict crystal structures from material compositions with high accuracy and efficiency. This breakthrough eliminates the need for iterative first-principles calculations, making it possible to predict stable structures even for large and complex systems.
A new type of smart polymer has been created that mimics the flexibility and stiffness of medieval chainmail. The material, made up of interlocking rings, can bend without breaking while maintaining exceptional stiffness, making it a potential game-changer for next-generation protective gear.
Researchers have developed a novel semiconductor material that significantly improves the efficiency of photocatalytic water splitting by eliminating charge recombination and facilitating efficient charge separation. The Sc-doped TiO2 semiconductor achieves a record-breaking quantum yield of 30.3% and a solar-to-hydrogen efficiency of ...
A team of researchers led by UMass Amherst discovered that imperfect polymer fillers can enhance thermal conductivity, challenging conventional wisdom. Polymers with defective fillers performed 160% better than those with perfect fillers in conducting heat.
Researchers developed bright and efficient green-emitting ZnSeTe-based QD-LEDs by introducing an ultrathin ZnSeS alloy interlayer, enhancing radiative recombination efficiency and optical stability. The devices showed a peak external quantum efficiency of 20.6% and luminance exceeding 100,000 cd m−2.
Researchers periodically drove a time crystal and observed a range of nonlinear dynamic behaviors, from perfect synchronization to chaotic motion. The team discovered the 'Farey tree sequence' and the 'devil's staircase,' which indicate specific patterns of behavior in response to periodic driving.
Researchers developed Cu/Zn solid-solution phase hosts to overcome electrochemical limitations in multivalent metal ion batteries. The material's layered crystal structure and abundant interlayer confined species provide favorable diffusion pathways for charge carriers.
Researchers at The University of Tokyo have discovered a previously unseen moiré pattern in tungsten ditelluride bilayers, featuring one-dimensional bands. The pattern occurs at specific twist angles and has important implications for the optoelectronic properties of materials.
Researchers developed a biomimetic adsorbent inspired by the natural porous structure of the Chinese sweet gum tree's fruit. The hierarchical nano-trap framework significantly enhanced ion diffusion and increased uranium adsorption capacity, outperforming competitive ions in real seawater tests.
Researchers developed a compact, solid-state laser system that generates 193-nm coherent light, marking the first 193-nm vortex beam produced from a solid-state laser. This innovation enhances semiconductor lithography efficiency and opens new avenues for advanced manufacturing techniques.
Scientists at POSTECH and University of Montpellier successfully synthesized wafer-scale hexagonal boron nitride (hBN) with an AA-stacking configuration using metal-organic chemical vapor deposition (MOCVD). This achievement introduces a novel route for precise stacking control in van der Waals materials.
A new AI model developed by Tokyo University of Science's researchers predicts dendritic growth in thin films, offering a powerful pathway for optimizing thin-film fabrication. The model analyzes morphology using persistent homology and machine learning with energy analysis, revealing conditions that drive branching behavior.
CrySyst's QbC framework addresses crystallization monitoring, modeling and control using research from Purdue University. The software provides guided experiment selection, semiautomated model development and reliable solutions to reduce time and material usage.
A research team at POSTECH developed a synthesis method that precisely controls the size and shape of perovskite nanocrystals using liquid crystalline antisolvents. The method produces uniformly sized particles without additional purification processes, accelerating commercialization of optoelectronic devices.
Hydrogen and carbon monoxide adsorb onto platinum atoms in nanoscale voids, with hydrogen diffusing faster due to smaller size. The team's findings highlight the importance of engineering voids for next-generation sensors and gas separation.
Researchers at Tel Aviv University have developed a method to transform graphite into novel materials with controlled atomic layers, enabling the creation of tiny electronic memory units. This process, known as 'Slidetronics,' allows for precise manipulation of material properties, opening doors to innovative applications in electronic...
Researchers developed surface-modified apatite coatings using pH control to enhance cell adhesion and improve the biocompatibility of implants. The study found that controlling the nanoscale surface layer of apatite nanoparticles leads to better binding affinity with biological tissues.
A team from Osaka Metropolitan University has developed a crystal patterning method that controls the position and orientation of photochromic crystals, known as diarylethenes. This breakthrough allows for the creation of convex structures with precise control over crystal shape and size.
Researchers are exploring halide perovskites, a material that converts sunlight into energy efficiently. The team created distinct properties using ultra-cool methods, enabling mass production of solar cells.
A Northwestern University-led research team has developed a 2D mechanically interlocked polymer with exceptional flexibility and strength. The material's unique structure exhibits up to 100 trillion mechanical bonds per square centimeter, making it a promising candidate for high-performance body armor.
Researchers from NTU Singapore have developed a new crystal structure that shows naturally existing particles can behave like axions, promising to detect dark matter. The findings could lay the groundwork for understanding cosmic phenomena and uncovering the universe's greatest mysteries.
Researchers propose a novel strategy for highly controllable micro-nano fabrication using focal volume optics in transparent solids. The approach enables the creation of composite structures with finer structures and tunable properties, opening up new avenues for photonics and nanophotonics applications.
A team of researchers at the Indian Institute of Science (IISc) has developed a machine learning-based approach to predict material properties using limited data. By leveraging transfer learning and multi-property pre-training, they were able to improve model performance and extend its applicability to new materials.
The study introduces a novel non-van-der-Wals 2D coordination polymer with intrinsic superconducting properties. Cu3BHT exhibits metallic conductivity and a superconducting transition at 0.25 K, attributed to enhanced electron-phonon coupling and electron-electron interactions.
A research team at Pohang University of Science & Technology developed a technology that visualizes the deformation of 'serpentine' structures in real-time through color changes. This innovation eliminates the need for complex nanofabrication processes, providing actionable design guidelines for optimizing these structures.
Researchers have identified a link between bacteria and kidney stone formation, finding that low levels of E. coli and Lactobacillus promote or prevent kidney stone development. The study suggests that the urinary tract is not sterile and that antibiotic misuse can skew the microbiome towards stone-promoting bacteria.
Researchers have developed a new X-ray technique called XL-DOT that visualizes crystal grains, grain boundaries, and defects in materials, enabling previously inaccessible insights into functional materials. The technique uses polarized X-rays to probe the orientation of structural domains in three dimensions.
Researchers develop a computational method to determine the crystal structures of multiphase materials directly from powder X-ray diffraction patterns. This approach can analyze existing experimental data that was previously difficult to decipher, leading to potential discoveries of new material phases.
Researchers have uncovered key insights about how liquid crystals transform between different phases using direct simulation and machine learning. This study provides a clearer understanding of the microscopic-level changes in these materials, which could lead to new possibilities for advanced materials development.
Researchers demonstrate transverse thermoelectric conversion in WSi2 for the first time, using mixed-dimensional Fermi surfaces to enable TTE effect. The study paves the way for developing new sensors and efficient thermoelectric materials.
Physicists at MIT have made a breakthrough discovery that sheds light on the conditions that lead to exotic electronic states in graphene and other two-dimensional systems. Through calculations, they show that pentalayer graphene can exhibit fractional charge without a magnetic field.
Researchers at New York University developed a mathematical approach, Crystal Math, to predict molecular crystal structures in hours, bypassing weeks or months of supercomputer processing. This breakthrough could speed up R&D for drugs and electronic devices.
Researchers developed a new method for amorphizing indium selenide wires, requiring as little as one billion times less power density. The process resembles an avalanche and an earthquake, triggering rapid deformation and linking small areas into larger ones, potentially unlocking wider applications for phase-change memory technology.
Researchers at UCF are developing a compact semiconductor light source that can disinfect rooms with UV-C light, suitable for defense and civilian use. The laser device aims to last up to 10,000 hours, overcoming its current short lifespan.
A Virginia Tech-led team is searching for signs of dark matter in billion-year-old rocks. By analyzing crystal lattice structures, they aim to uncover miniature trails of destruction left by long-ago dark matter interactions.
The SPINNING project successfully demonstrated the entanglement of two registers of six qubits each over 20m distance with high fidelity. The spin-photon-based quantum computer achieved lower error rates than superconducting Josephson junctions, outperforming prominent models like Eagle and Heron.
Researchers at Nagoya University developed an innovative method to synthesize amorphous nanosheets from challenging metal oxides and oxyhydroxides. The process uses surfactants to create ultrathin layers with numerous defects, making them excellent active sites for catalytic reactions.
Researchers developed a new AI model that predicts optical properties across a wide range of light frequencies using only a material's crystal structure as input. This enables highly precise predictions, making it suitable for screening materials for high-performance solar cells and detecting quantum materials.
A new theory reveals that the solvent, not solute, is the dominant component in solution, leading to improved understanding of crystal formation. Thermodynamic phase diagrams demonstrate that crystals grow through a melt-like intermediate before organizing into a crystal structure.
Bifocal lenses with adjustable focal intensities are created by applying external voltage to bilayer liquid crystal structures. The new design enables polarization imaging and edge imaging, highlighting the outlines of objects with fine details.
Long-term treatment with the nonsteroidal mineralocorticoid receptor antagonist finerenone is estimated to extend event-free survival by up to 3 years among people with heart failure. The FINEARTS-HF randomized clinical trial found this benefit in patients with mildly reduced or preserved ejection fraction.
Researchers found inorganic nanostructures surrounding deep-ocean hydrothermal vents that mimic molecules essential for life. These structures can harness energy and convert it into electricity, sparking interest in applying this technology to industrial blue-energy harvesting.
A new AI model called Crystalyze can analyze X-ray crystallography data to determine the structure of powdered crystals. The model was trained on a database of over 150,000 materials and successfully predicted structures for over 100 previously unsolved patterns.
Researchers found that different synthesis methods significantly affect high entropy oxides' local structures and microstructures. Combustion synthesis produced the most homogeneous samples, while solid-state method resulted in varied local structures.
Researchers at Singapore University of Technology and Design have successfully printed 3D photonic crystals using titanium resin, achieving a complete photonic bandgap across the visible spectrum. This breakthrough enables precise control of light, opening up possibilities for advancements in telecommunications, sensing, and quantum te...