Articles tagged with Diffraction Patterns
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 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.
The Crab Pulsar features a unique zebra pattern due to diffraction in the electromagnetic pulses caused by its dense plasma. Researchers have proposed various emission mechanisms, but none have convincingly explained the observed patterns until now.
Researchers developed a novel optical computation architecture called diffraction casting, which leverages spatial parallelism of light to perform computations. This method overcomes limitations of previous techniques by using wave optics, enabling scalable and parallel logic operations with high flexibility and integration capability.
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 at Kyoto University have developed a new method to reduce optical interference and measure the quantum coherence time of moiré excitons, which are electron-hole pairs confined in moiré interference fringes. This breakthrough enables the realization of quantum functionality in next-generation nano-semiconductors.
A team of researchers from Japan have employed an innovative technique to directly observe the origin of FSDP and the atomic density fluctuations in silica (SiO2) glass. The study reveals alternating arrangements of chain-like columnar atomic configurations and interstitial tube-like voids.
A groundbreaking study introduces a method for sorting vector structured beams with spin-multiplexed diffractive metasurfaces, promising significant advancements in optical communication and quantum computing. This technology enables precise control over complex light beams, opening new avenues for scientific exploration.
Researchers developed a deep learning model that can identify previously unknown quasicrystalline phases in multiphase crystalline samples. The model achieved a prediction accuracy of over 92% and successfully detected an unknown phase in Al-Si-Ru alloys.
Metalenses have been developed with differentiated design principles to eliminate chromatic aberration. By merging bright spots into a single focusing spot, researchers achieved an efficiency of up to 43% and demonstrated the versatility of their approach for various optical applications.
Researchers have visualized the structural dynamics of 2D perovskite materials under light-induced excitation, revealing a transient lattice reorganization towards a higher symmetric phase. The study demonstrates the potential to tune the interaction between perovskite lattices and light.
Engineers and chemists at the University of Illinois have combined electron microscopy and data mining to visualize chemical and physical alteration within ion batteries. The study reveals patterns of nucleation, growth, and coalescence that can inform the development of better rechargeable battery performance.
Researchers develop a new way to manufacture high-efficiency diffraction gratings using reactive ion-plasma etching, achieving near-theoretical unpolarized diffraction efficiency of 94.3%. The process enables robust and durable gratings suitable for harsh environments.
Researchers at Tokyo University of Science have reported the first-ever observation of long-range ferromagnetic order in icosahedral quasicrystals. The discovery was made using conventional X-ray diffraction, magnetic susceptibility, and specific heat measurements.
Researchers at Ames Laboratory discovered a correlation between broad diffraction patterns and high-quality graphene, challenging conventional wisdom. The discovery has implications for reliable quality control of 2D materials in manufacturing environments.
Researchers at UC San Diego developed a computer-based method to determine crystal structures of materials and molecules using a machine learning algorithm, achieving at least 95% accuracy. The new approach autonomously analyzes electron diffraction patterns and can perform analysis on large samples with multiple length scales.
Scientists at DOE/Ames National Laboratory have found a broad diffraction pattern in high-quality graphene samples, indicating defect-free and uniform layers of atoms. This discovery enables the reliable identification of structurally perfect graphene, a crucial step towards optimizing its properties for various applications.
Astronomers used asteroid occultations to measure the smallest apparent size of a star on the night sky, revealing the diameter of a giant star and a sun-like star. The new method provides ten times better resolution than standard lunar occultation methods.
A new light-based technique creates secure, invisible watermarks that can be used to detect and prosecute counterfeiting. The technique uses a complex pattern of light as a unique watermark, which is embedded into the content to be protected.
Researchers at RIKEN developed a new technique to analyze protein structures by suspending crystals in a greasy substance, enabling the use of smaller samples and faster data collection. This breakthrough could lead to improved understanding of dangerous proteins, such as those containing mercury.
Researchers create a method to image proteins at ultrafast speeds using x-ray pulses. The technique involves injecting tiny water droplets through a 'particle gun' into the path of bright, brief x-rays, which then diffract off the protein molecules.
A team of researchers has confirmed the existence of a complex order parameter in ruthenate superconductors, which breaks time-reversal symmetry. This discovery was made using the Josephson interferometer technique and provides crucial insights into the microscopic mechanism responsible for superconductivity.
Using a free-electron laser, Livermore scientists captured single diffraction patterns of nanostructured objects before destruction and reconstructed images with features 50 nanometers in size. This 'lensless' imaging technique resolves 10 times smaller than optical microscopes.
A newly devised nozzle allows researchers to distribute helium atoms with X-ray-like waves on randomly shaped surfaces. The technique could power a non-invasive, high-resolution approach to studying materials at the nanoscale.
Researchers at University College London develop a novel method for obtaining full 3D images of nanocrystal interiors using coherent X-ray diffraction imaging. This technique allows for the assessment of defects in materials, which are essential for specific properties, and enables single-molecule imaging with X-ray free-electron lasers.