Articles tagged with Atomic Structure
A new AI model, CrystaLLM, can predict how atoms arrange themselves in crystal structures, aiding the discovery of new materials for solar panels, computer chips, and batteries. The system learned patterns from millions of existing crystal structure descriptions, bypassing complex physics calculations.
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.
A team of scientists analyzed smartphone videos and amateur photos of a rare blue-dominant aurora in Japan to estimate its area and confirm findings with spectrophotometers. The research revealed longitudinal structures aligned with magnetic field lines, spanning about 1200 km in longitude.
The German Research Foundation has approved renewed funding for SFB 1432 until 2028, expanding the project's scope to investigate fluctuations in ferroelectric and magnetically nonlinear materials. The team will also develop advanced mathematical analysis methods for complex dynamic systems.
Researchers have shed new light on gene expression by visualizing ribosomes in unprecedented detail. The study reveals a molecular mechanism for mRNA delivery to the ribosome, advancing our understanding of gene expression at the molecular level.
Researchers at Institute of Science Tokyo develop an innovative strategy to produce β- and γ-naphthocyclinones, challenging compounds that have potential for medical and biological applications. They successfully synthesize the molecules using a retrosynthetic analysis approach, achieving yields of over 70%.
The study reveals that atomic resolution SE imaging can distinguish between surface atomic arrangements with high sensitivity, identifying honeycomb-like structures composed of molybdenum and sulfur atoms. The method's depth sensitivity is also demonstrated by the absorption or scattering of SEs from the second layer.
Scientists have developed a new method for converting crystal to glass using electric current, reducing the need for high-power melt-quench processes. The discovery could transform data storage in devices and unlock wider applications for phase-change memory technology.
A UIC graduate student has proposed three promising new designs for superconducting materials that could achieve high-temperature superconductivity at room temperature. The designs were published in the Proceedings of the National Academy of Sciences and demonstrate properties needed for very high-temperature superconductivity.
Researchers developed a novel AI approach to predict atomic-level chemical bonding information in 3D space, bypassing traditional supercomputer simulations. This methodology accelerates calculations by learning chemical bonding information using neural network algorithms from computer vision.
Scientists at The University of Tokyo successfully observe the existence of space charge layers in solid electrolyte fuel cells, shedding light on their impact on ion conduction. By controlling grain boundary structure, they can eliminate these layers and improve material performance.
Researchers discovered five distinct grain boundary structures composed of different arrangements of icosahedral cage units, enabling dense packing of iron atoms. The formation of these quasicrystalline-like phases can be used to tailor material behavior and make materials more resilient against degradation processes.
Scientists have developed a groundbreaking 2D electro-polaritonic platform that integrates detection with the same material, overcoming limitations of traditional optical techniques. This breakthrough enables spectrally resolved electrical detection of nanoresonators and significantly enhances photodetection efficiency.
Chemists at Brookhaven Lab develop new theoretical framework to accurately predict catalyst behavior, revealing how conditions like temperature and pressure can change a catalyst's structure, efficiency, and products. The study highlights the significant impact of reaction environment on catalytic performance.
A new Fe-N-C catalyst using dual nitrogen sources enhances the distribution density of active catalytic sites, increasing its overall activity and stability in oxygen reduction reaction (ORR). The catalyst demonstrates superior performance compared to commercial Pt/C catalysts, with improved durability and resistance to methanol.
Scientists developed a technique to engineer LHPs with controlled size distribution of quantum wells, improving efficiency and stability in LEDs and lasers. By controlling nanoplatelets' growth, they achieved excellent energy cascades, enhancing photovoltaic performance and stability.
Researchers at KAIST successfully developed single-atom editing technology that maximizes drug efficacy by converting oxygen atoms into nitrogen atoms in furan compounds. This breakthrough technology enables selective editing of complex natural products or pharmaceuticals, opening new doors for building libraries of drug candidates.
Researchers at City University of Hong Kong have developed a new fabrication technique for perovskite solar cells, achieving power conversion efficiencies over 25% and 95% efficiency after 2,000 hours. This simplification makes industrial production more cost-effective and paves the way for more reliable and efficient solar cells.
Researchers at Texas A&M University have developed a method to recharge cellular mitochondria using nanotechnology, potentially extending healthy lifespans and improving outcomes for patients with age-related diseases. The molybdenum disulfide nanoparticles stimulate mitochondrial regeneration, helping cells generate more energy.
Researchers from the University of Xiamen developed a machine learning potential to study Pt-water interfaces, revealing distinct types of water molecules and their anisotropic behavior. This understanding is crucial for elucidating interfacial processes in electrochemical reactions.
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.
The study probed the electronic structures of metal and ligand sides using soft X-ray absorption spectroscopy, revealing differences in energy shifts between cobalt and iron protoporphyrin IX complexes. The results show that CoPPIX maintains its five-coordination geometry in aqueous solution.
The researchers used noncontact atomic force microscopy to analyze the surface structure and found that the surface rearranges to allow aluminum atoms to penetrate into the material. This rearrangement reduces energy and stabilizes the structure without changing its composition.
A team of researchers from NTT Corporation and Tokyo Institute of Technology has successfully achieved photonic topological phase transition by material phase transition. This breakthrough demonstrates the possibility to change the photonic topological phase in a reconfigurable manner, paving the way for novel research fields and promi...
Researchers have developed a new imaging method for neutral atomic beam microscopes that can improve image resolution without significantly increasing measurement time. The new method uses magnetic spin precession to encode the position of beam particles, which interact with the sample.
A team of researchers from Tokyo Institute of Technology elucidated the mechanisms of electron transfer in upconversion organic light-emitting diodes, resulting in improved efficiency. They discovered a novel donor-acceptor combination that led to the fabrication of an efficient blue UC-OLED with an extremely low turn-on voltage.
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 create sheets of transition metal chalcogenide 'cubes' connected by chlorine atoms, exhibiting high catalytic efficiency for hydrogen generation. The discovery opens up a new route to assembling nanosheets with unique electronic and physical properties.
Researchers at Argonne National Laboratory have made significant strides in understanding the mesoscale properties of a ferroelectric material under an electric field. The breakthrough holds potential for advances in computer memory, lasers, and sensors.
Scientists at National University of Singapore have created electron-hole crystals in an exotic quantum material, paving the way for advancements in computing technologies. The breakthrough was achieved using scanning tunneling microscopy and reveals two distinct ordered patterns at different energy levels.
A team of researchers from POSTECH has introduced a novel approach to balance strength and elongation in metallic materials. By using periodic spinodal decomposition, they created an alloy that boasts both high strength and high elongation, achieving a yield strength of 1.1 GPa with nearly the same elongation as before.
Researchers grew crystals containing actinium and studied its atomic structure, revealing how it interacts with surrounding atoms. The study could help design better targeted alpha therapy for cancer treatment.
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.
Researchers uncovered details about nuclear structures using relativistic isobar collisions, highlighting differences in multiplicity distribution and elliptic flow. The study employed advanced models and technology to analyze the effects of nuclear deformations and initial fluctuations on ratio observables.
Researchers at U of T have developed a deep-learning model called PepFlow that can predict the full range of conformations for peptides, which are shorter than proteins but perform similar biological functions. The model combines machine learning and physics to capture precise and accurate conformations within minutes.
Researchers at Pohang University of Science & Technology (POSTECH) made a small change to develop highly efficient SOT materials. By creating an imbalance in the spin-Hall effect, they controlled magnetization switching without magnetic fields, achieving 2-130 times higher efficiency and lower power consumption than known single-layer ...
Scientists have discovered that specific light wavelengths can induce non-equilibrium transitions in magnetite, a well-studied material. This breakthrough enables the control of electronic properties at ultrafast timescales, opening up new avenues for advanced materials and device development.
Researchers at NCCR MARVEL have discovered a chain of copper and carbon atoms that forms the thinnest metallic nanowire stable at 0K. CuC2 has promising properties for flexible electronics, including its ability to be bent without losing its metallic behavior.
A novel mechanical metamaterial, 'Chaco,' exhibits history-dependent behavior, allowing it to remember the sequence of actions performed on it. This property enables potential applications in memory storage and robotics.
Researchers at Tokyo University of Science have developed a novel approach to directly observe electron transfer in solids using X-ray crystal structure analysis. This breakthrough could lead to advancements in energy storage, nanotechnology, and materials science research.
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.
Researchers develop LoCoHD algorithm to compare protein structures based on chemical information of atoms, enabling analysis of molecular machines and identifying critical amino acids. The method shows promise in predicting protein functions, including studying the internal motion of proteins like podocin.
Researchers at NUS developed a new method to grow two-dimensional transition metal dichalcogenides (TMDs) using molecular beam epitaxy. This approach enables phase engineering and fabricating 2D heterostructure devices with precise control over their properties.
Scientists have discovered the transporters responsible for delivering essential nutrients choline and ethanolamine to human cells. The study sheds light on the atomic structure of these transporters and their role in distributing micronutrients throughout the body, providing a foundation for new therapeutic approaches.
Researchers at Tel Aviv University developed a method to grow ultra-long and narrow graphene nanoribbons with semiconducting properties, opening doors for technological applications in advanced switching devices and spintronic systems. The study's success demonstrates a breakthrough in carbon-based nanomaterials.
Researchers from Tokyo Institute of Technology experimentally revealed that high-density Ca introduction enhances superconductivity in graphene-calcium compounds through confinement epitaxy, leading to increased critical temperatures. This breakthrough could enable the development of C6CaC6 superconductors with wide applicability in qu...
Scientists at Arizona State University develop a new simulation method to predict and guide the self-assembly process, creating tiny, self-assembled crystals with unique optical properties. This breakthrough advances technologies in computer science, materials science, medical diagnostics, and more.
Scientists studied the nickel-tungsten alloy interface to understand its properties and behavior. The research revealed the formation of intermetallic compounds and diffusion-induced recrystallization regions, which significantly impact the material's mechanical, thermal, and chemical properties.
Researchers at PNNL have developed a method to control the handedness of peptoid helices, which can be used to design precise drug delivery agents or artificial enzymes. The team's discovery could provide insights into protein assembly and potentially lead to breakthroughs in treating protein folding-related diseases.
Researchers developed a displacement-type ferroelectric material with high dielectric constant by incorporating rubidium ions into perovskite compounds. The material exhibits unique distortions and phase transitions across a broad temperature range.
Scientists at Tohoku University and Japan Atomic Energy Agency develop experiments to manipulate the 'electron universe' geometry within magnetic materials. They successfully detected a distinct electric signal, paving the way for innovative spintronic devices.
Researchers propose a new strategy to further enhance the performance of gas sensors using single-atom catalysts. The review discusses the application, structure, and principles of semiconductor-based gas sensors, as well as the mechanisms through which single-atom catalysts improve gas sensitivity.
A recent study reveals the 3D structure of Asc1, a protein gate that controls amino acid transport in neurons. The findings provide crucial information to develop new drugs for neurological disorders such as schizophrenia, stroke, and ALS.
Researchers developed a powerful new technique to generate dynamic structural data of proteins. They applied it to Glt Ph, revealing previously unseen structural states and uncovering the basis of wanderlust kinetics. The approach opens up possibilities to track protein structure in real-time.
Scientists develop method to image thermally-induced rearrangement of 2D materials at the atomic scale, observing a new grain-seeding mechanism and aligned domain growth. This discovery enables control over macroscopic twist between layers, affecting material properties.
Researchers discovered a crucial amino acid exchange that enables PsiM to carry out double methylation during evolution. The enzyme plays a key role in psilocybin production, with implications for biotechnological production of the active ingredient.
Researchers create butterfly-shaped nanographene with four unpaired π-electrons, demonstrating potential for advancements in quantum computing. The unique structure has highly correlated spins, extending coherence times of spin qubits.
The MIT-designed 'architected' reef could dissipate more than 95% of incoming wave energy using a fraction of the material needed, reducing erosion and flooding. The cylindrical structure's unique design leverages turbulence to efficiently break waves, making it a potential solution for coastal protection in various water conditions.
Researchers at Stanford University have successfully 3D printed tens of thousands of Archimedean truncated tetrahedrons, a geometry predicted to produce promising new materials that can change form in an instant. These nanoparticles can shift between states rapidly by rearranging particles into new geometric patterns.
Scientists have applied time-resolved serial femtosecond crystallography (TR-SFX) to study molecular motion in real-time with atomic resolution, revealing three pathways of structural change in a porous coordination network sample. This breakthrough unlocks new opportunities for investigating chemical systems and material science.