A KAIST research team has demonstrated for the first time that a porous material can arrange disordered gas molecules into a crystal-like structure. Using xenon as a model system, they identified a specific cobalt-based material that stabilizes xenon in a regular lattice, showcasing a breakthrough in gas crystallization.
Researchers have designed a 3D device that can hide objects from infrared cameras and protect them from extreme temperatures, with potential applications in electronics, security, and defense
Researchers have discovered that twisting and stacking oxide crystals can create specific atomic configurations that act as an 'invisible fence' to trap or repel electrons. The study reveals charge disproportionation due to subtle distortions in oxygen octahedra, leading to altered electron accumulation patterns.
Researchers at the University of Groningen developed an atomistic model that predicts the driving force for microstructural twinning in shape memory alloys. This discovery can lead to the creation of new crystalline materials with improved reversible deformations, vibration damping, and impact absorption.
This article introduces post-quantum cryptography, emphasizing its mathematical foundation in lattice theory and positive definite quadratic forms. The study explores the shortest vector problem (SVP) and closest vector problem (CVP), crucial problems for further development of lattice-based cryptography.
Researchers have found direct evidence of active flat electronic bands in a kagome superconductor, paving the way for new methods to design quantum materials. The breakthrough could power future electronics and computing technologies.
Researchers developed a hybrid approach combining molecular dynamics simulations and Helfrich theory to evaluate bending rigidities of graphene nanosheets with lattice defects. The study reveals insights for designing novel materials with tailored mechanical properties.
Researchers at EPFL have developed a method to stabilize wide-bandgap perovskites using lattice strain, reducing energy losses and improving stability. This approach enables the incorporation of rubidium ions into the structure, resulting in increased efficiency and reduced photovoltage loss.
Scientists at Shibaura Institute of Technology discovered quasi-1D dynamics in a triangular molecular lattice, contradicting the expected 2D behavior of quantum spin liquids. This finding was achieved through advanced ESR and muon spin rotation experiments combined with theoretical modeling.
A research team from UniTrento partnered with Google's Quantum Ai Lab to study confinement in lattice gauge theory on powerful quantum computers. They successfully tested hypotheses using the quantum simulators' potential, which cannot be reached by conventional computers.
Researchers at Max Planck Institute for Sustainable Materials have developed a novel method to create lightweight, nanostructured porous martensitic alloys by harnessing dealloying and alloying processes. The approach enables CO2-free and energy-saving production of high-strength materials.
A research team at USTC developed an on-chip photonic simulator that can simulate arbitrary-range coupled frequency lattices, a crucial step towards understanding low-dimensional materials. The innovative approach uses thin-film lithium niobate chips to create lattice structures in the frequency domain.
Researchers from FSU and National High Magnetic Field Laboratory found that twisted bilayer graphene's conductivity depends on minute geometry structure changes upon interlayer twisting. The study reveals the potential of multilayer moiré systems in constructing materials with on-demand optical properties.
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 University of Limerick have discovered new ways to probe, control, and tailor materials at the molecular scale. They've designed molecules that can process and store information efficiently, potentially leading to innovative solutions for societal challenges in health, energy, and environment.
Researchers have unveiled a new class of quantum critical metal that sheds light on intricate electron interactions. The discovery could lead to the development of electronic devices with extreme sensitivity, driven by unique properties of quantum-critical systems.
A new model reveals that cooperative behaviour between species may break down when conditions are ripe for mutual benefit. Researchers found that as cooperation becomes easier, it can unexpectedly disappear, with asymmetric clusters forming and interacting across lattices.
Researchers have discovered a new connection between the nanoscale features of a piezoelectric material and its macroscopic properties, providing a new approach to designing smaller electromechanical devices. The mesoscale structures reveal a complex tile-like pattern that aligns dipoles in a specific way under an electric field.
Scientists develop locally periodic honeycomb structure with ordered but non-periodic arrangements, exhibiting properties distinct from usual periodic crystals. The study highlights the effectiveness of aperiodic approximants in inducing modulations within self-assembled soft-matter systems.
A team of scientists at Argonne National Laboratory has discovered that a lithium nickel manganese cobalt (NMC) oxide degrades rapidly with charge-discharge cycling due to changes in its lattice structure. This finding could lead to the development of lower-cost electric vehicles with longer driving ranges.
Scientists have discovered unique periodic structures in manganese germanide that behave like magnetic monopoles and antimonopoles. The researchers studied the collective excitation modes of these structures, revealing a way to experimentally determine their spatial configuration.
Researchers at Clemson University have developed a new noncentrosymmetric triangular-lattice magnet, CaMnTeO6, which displays strong quantum fluctuations and nonlinear optical responses. This breakthrough material has the potential to lead to advancements in solid-state quantum computing, spin-based electronics, resilient climate chang...
Researchers used supercomputer simulations and machine learning to map diamond's phonon stability boundary in six dimensional strain space. This framework guides the engineering of materials through elastic strain engineering, enabling the development of new devices such as computer chips and quantum sensors.
Physicists from Princeton University have discovered the microscopic basis of kinetic magnetism, a novel form of quantum magnetism. They directly imaged the unusual type of polaron that gives rise to this magnetism, using ultracold atoms in an artificial laser-built lattice.
Researchers at ETH Zurich and Harvard/Princeton used quantum pointillism to study complex quantum systems made of interacting particles. They observed the formation of spin polarons, which are crucial for understanding magnetic behavior in materials.
Researchers at Chalmers University of Technology developed a computational model to measure entropy production on the nanoscale in laser-excited crystalline materials. The model reveals that phonons, lattice vibrations, can produce entropy similar to bacteria in water.
Researchers identified the origin of a discrepancy between experimental and theoretical values of the muon's magnetic moment. The study found that lattice QCD and electron-positron collision data disagree, highlighting the need to resolve this puzzle.
A study discovers that traditional Chinese ice-ray lattice designs can provide unique stiffness and strength under asymmetric loads, offering an alternative to conventional gridshells. The research also explores the potential of integrating complex geometry into facade design and micro-scale material design.
Researchers used simulations to model HIV's journey into the nucleus, finding it uses an electrostatic ratchet to squeeze through. The study provides insights into the complex interactions between the virus and cell, suggesting new targets for therapeutic drugs.
Researchers at Nagoya University used AI to analyze image data of polycrystalline silicon and discovered staircase-like structures that cause dislocations during crystal growth. The study sheds light on the formation of dislocations in polycrystalline materials, which can affect electrical conduction and overall performance.
Researchers developed a formula to predict properties of nuclei formed from charged clusters, essential for understanding element formation in stars. The approach simulates low-energy nuclear reactions using numerical lattices and Whittaker functions, enabling accurate calculations.
Researchers found self-supervised models generate activity patterns similar to mammalian brains, suggesting an organizing principle. The models learn representations of the physical world to make accurate predictions, potentially unlocking human-labeled data limitations.
Researchers analyzed whiteschist from the Dora Maira Massif to study rapid upward movements, revealing a sharp decrease in pressure or decompression. This suggests that UHP rocks may not have reached a depth of 120 kilometers before returning to the surface.
The study demonstrates experimentally that the electronic and mechanical properties of a metal are connected. Researchers measured lattice distortion as a function of applied stress in the superconducting metal strontium ruthenate, finding changes in mechanical stiffness corresponding to new electronic states becoming occupied.
Conduction electrons play a crucial role in the elastic response of Sr2RuO4. Research reveals that a tiny fraction of current-carrying electrons can dominate the others, making the lattice softer. This finding provides new insights into decades-old problems and has implications for future research.
Researchers at Tokyo University of Science have discovered a method to generate molecular ions from an ionic crystal by bombarding it with positrons. This breakthrough could lead to new applications in materials science, cancer therapy, and quantum computing.
Researchers propose a new way to control moiré flatbands by adjusting the band offset of two photonic lattices, enabling the creation of novel multiresonant moiré devices. This breakthrough opens new opportunities in moiré photonics and promises to inspire future explorations into innovative moiré devices.
Researchers at Northwestern University developed Lattice, a device that simulates human disease in multiple organs to analyze interactions and test new drugs. The technology can replicate complex disease processes, allowing scientists to study the effects of obesity on endometrial cancer, for example.
Cancer researchers at University of Cincinnati Cancer Center are exploring a new method called lattice therapy, which delivers higher doses to tumors and lower doses to surrounding tissues. The approach has shown promise in reducing treatment time and improving patient outcomes for head and neck, lung, and brain tumors.
Researchers from USTC have used an ultra-cold atom simulator to study the relationship between non-equilibrium thermalization and quantum criticality in lattice gauge field theories. Their findings show that multi-body systems with gauge symmetry tend to thermalize more easily near quantum phase transition points.
Researchers at TU Wien developed a comprehensive computer model of realistic graphene structures, showing that the material's desired effects are stable even with defects. This means graphene can be used in quantum information technology and sensing without needing to be perfect.
Researchers used supercomputers to predict the spatial distributions of charges, momentum, and other properties of 'up' and 'down' quarks within protons. The results revealed key differences in the characteristics of the up and down quarks, implying different contributions to the proton's fundamental properties.
Researchers have found that certain materials can exhibit D-wave effects, entangled with other quantum states, allowing for efficient coupling at higher temperatures. This breakthrough bridges condensed matter physics subfields and could enable practical applications of quantum computing.
Researchers developed an AI algorithm to predict the properties of new 2D materials with point defects, achieving 3.7 times greater accuracy than other machine learning algorithms. The model operates 1000 times faster than quantum mechanical computations and can handle multiple defects simultaneously.
Physicists at the University of Konstanz solve a physics mystery by reworking a discarded model, which explains glass's unique sound wave behavior and its implications for thermal properties.
A team at the University of Vienna has developed a method to controllably create single atomic vacancies in hexagonal boron nitride (hBN) using ultra-high vacuum and aberration-corrected scanning transmission electron microscopy. This breakthrough enables the creation of defects that can emit single photons, opening up new opportunitie...
Researchers have developed an innovative approach to efficiently manipulate topological edge states for optical channel switching. By exploiting the finite-size effect in a two-unit-cell optical lattice, they achieved dynamic control over topological modes and demonstrated robust device performance.
Researchers have discovered a new phase of liquid magnetism in layered helical magnets, where magnetic dipoles behave like 'flattened puddles' with varying alignment between layers. This phenomenon, predicted by a computational model, may explain the unusual electronic behavior observed in these materials.
Researchers have created a micrometre-size model of atomic graphene to study defects, which are crucial for the material's properties. The model reveals that common defects form in early stages of growth and lead to stable defect configurations.
Researchers stack ultrathin monolayers of semiconductors to create a moiré lattice that traps individual electrons in tiny slots. This configuration allows for continuous tuning of electron mass and density, leading to the observation of heavy electrons and potential emergence of a 'strange' metal phase.
Scientists at SLAC and Stanford University have created a new type of quantum material with a herringbone-like pattern, showcasing the Jahn-Teller effect in a layered material. The resulting distortions are huge compared to those achieved in other materials, offering exciting possibilities for further investigation.
Scientists have detailed the atomic structure of superconducting RbV3Sb5 at 103 degrees Kelvin, revealing a unique lattice pattern and charge-density wave. This breakthrough provides a new understanding of exotic states of matter and brings researchers closer to developing higher-temperature superconductors.
Researchers at EPFL's School of Basic Sciences created a large-scale, configurable superconducting circuit optomechanical lattice to simulate graphene lattices. The device exhibits non-trivial topological edge states and can be used to study many-body physics.
Scientists at the University of Illinois have created a new strategy to build materials with unique properties by organizing nanoparticles into pinwheel shapes. The pinwheel lattice exhibits chirality, a property that can be seen in nature's examples such as DNA and human hands.
A team of researchers from Japan and the USA have proposed an optimized design strategy for additive manufacturing using laser powder bed fusion. They simultaneously optimized laser hatching orientation and lattice density distribution to minimize residual stress in metal parts, reducing warpage by up to 39%.
Researchers improved the Kitaev spin liquid model by freezing electrons in space, allowing only spin contributions at low temperatures. The study successfully explained experimental data and predicted a topological phase in the presence of an external magnetic field.
Researchers at Rice University have discovered a unique arrangement of atoms in iron-germanium crystals that leads to a collective dance of electrons. The phenomenon, known as a charge density wave, occurs when the material is cooled to a critically low temperature and exhibits standing waves of fluid electrons.
Researchers use lasers to cool atoms to absolute zero, revealing new phenomena in an unexplored realm of quantum magnetism. The creation of SU(N) matter opens a gateway to understanding the behavior of materials and potentially leading to novel properties.
Brazilian researchers used computer simulations to investigate the superconducting behavior of a dimolybdenum nitride monolayer, finding that it became superconductive at relatively high temperatures and showed strong correlation with strain applied.
Researchers used fluorescence microscopy to study clathrin-mediated endocytosis in living cells. They found evidence of three models of curvature initiation and discovered that short-lived events favored the constant-curvature model, while longer events preferred the flat-to-curved transition pathway.