Researchers have developed high-temperature-resistant sinoite fibers with a near-stoichiometric Si2N2O ratio, exhibiting outstanding high-temperature resistance and mosaic-shell formation at 1700°C. The novel fibers maintain tensile strength and low-dielectric properties, making them promising for thermal protection systems.
A team of material scientists developed a novel two-step in-situ reactive spark plasma sintering process to create ultra-high temperature ceramics with balanced mechanical performance. The resulting ZTS-30B ceramic exhibited enhanced flexural strength and fracture toughness compared to previous materials.
The study introduces a self-rectifying memristor (SRM) array with outstanding stability and excellent multi-state regulation capability. It achieves 32 consecutive and linearly quantized conductance states, enabling simulation of synaptic plasticity in the human brain.
A study found that Mg-Ca alloys exhibit a threshold effect in their microstructure, leading to changes in viscosity. The researchers used molecular dynamics simulations to map the structural evolution of the alloys across different calcium content levels.
Scientists have discovered that heat is an inherent byproduct of light-to-light conversion in LuAG:Ce thin films. Luminous saturation arises from non-radiative recombination channels dominating energy competition, with optimal Ce concentrations peaking at 1618.3 lm under 28 W/mm2.
Researchers have developed a new type of ceramic composite that is tougher than its predecessors and acts as a high-performance electromagnetic absorber. The optimized composite demonstrated a 94.5% increase in flexural strength and nearly 50% enhancement in fracture toughness compared to standard silicon carbide ceramics.
Researchers have developed an all-fluorinated electrolyte that stabilizes high-voltage systems, outperforming standard carbonate-based electrolytes in tests. The new electrolyte promotes a robust Cathode-Electrolyte Interphase layer, enhancing battery longevity and resilience.
The 2026 iEnergy Frontier Forum on Power and Energy and Editorial Board Meeting was held in Hong Kong, featuring presentations by renowned experts on materials science, artificial intelligence, and low-carbon energy systems. The meeting aimed to strengthen the journal's academic quality and global influence.
A Fe@ZSM-5 catalyst demonstrates improved high-temperature NO conversion and stability in NH3-SCR, thanks to the regulation of molecular sieves. The research reveals two kinetic regimes, with optimal Si/Al ratio of 27 for high-temperature NO conversion.
Researchers developed novel high-entropy rare-earth disilicates with exceptional CMAS corrosion resistance. A physics-informed prediction model enables accurate forecasting of long-term corrosion behavior, reducing corrosion depth by approximately 70% compared to traditional coatings.
Researchers developed ultrathin Bi2WO6 nanosheets to enhance hydrogen production rates, exposing more reactive sites while increasing interfacial polarization. The material achieves a maximum per-unit-power hydrogen production rate of 61.20 μmol g-1 s-1 W-1.
A study analyzing bat samples from the Indochina Peninsula identified 137 viral strains across 27 families, including novel species, with Rhinolophidae bats exhibiting high viral diversity. PEDV-related viruses were found in Cambodian bats, further supporting their potential evolutionary source.
A new perspective argues that European steel's green industrialisation pathway and Africa's steel development are intertwined solutions. Hydrogen-based direct reduced iron (H2-DRI) production in Africa can provide a lower-cost alternative for European steelmakers, while supporting developing countries' economic growth.
A new interface structure design inspired by traditional Chinese mortise and tenon structures improves the mechanical properties and thermal shock resistance of Cf/(HfNbTaTiZr)C-SiC composites. The resulting composite exhibits higher flexural strength and fracture toughness compared to samples without the mortise-tenon structure.
The study reveals that rubber-modified ECC displays notable tensile ductility within the sub-high temperature range of 70–100°C, with the highest ultimate tensile strain observed at 100°C. Microstructural analyses attribute this enhancement to moderate matrix degradation, fiber softening, and improved fiber pull-out behavior.
The K-ETS has matured into a stable policy instrument with robust institutional infrastructure. Market trading volume expanded significantly, but price stability remains a challenge. Policy reforms aim to strengthen price stability and align the emissions cap with Korea's NDC.
Research investigates vortex-induced motion in semi-submersible FOWTs under varying incidence angles, revealing the influence of structural components on wake dynamics. The study's findings suggest optimizing platform design to reduce fatigue and enhance operational stability.
SPH simulations provide physically consistent insights into flow dynamics, impact forces, and affected areas in catastrophic hazard scenarios. High-quality visualization enables intuitive representations that support emergency planning and decision-making.
A new approach combining Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT) enables accurate damage localization even with a limited number of sensors. The method reduces costs while improving detection accuracy, supporting broader implementation in real-world bridge health monitoring.
The inaugural issue of SES features an editorial, review articles, and research papers on frontier topics such as fire risk assessment and AI-enabled emergency technology upgrading. These studies provide valuable insights for academia, industry, and policymakers.
A new study from Tsinghua University and Beijing Tiantan Hospital demonstrates a strategy to deliver therapeutic materials directly to the brain, bypassing the blood-brain barrier. Researchers 'hijack' immune cells in the skull bone marrow to transport nanoparticles into the brain, achieving efficient delivery for stroke treatment.
The Journal of Intelligent and Connected Vehicles is transitioning to an open-access platform on SciOpen, providing barrier-free access to cutting-edge research. The journal aims to foster greater global collaboration and leverage modern publishing infrastructure.
The field of food and medicine homology is shifting towards a modern, precision-driven scientific discipline by 2026. This will be achieved through the establishment of a robust evidence-based system, coupled with strategic utilization of technologies like AI, multi-omics, and synthetic biology.
A study in the Indochina Peninsula analyzed bat viromes from 197 bats across 16 species, identifying 137 viral strains, including a PEDV-related virus in Cambodian bats. The findings highlight critical surveillance gaps and emphasize the need for enhanced cross-border initiatives to prevent zoonotic outbreaks.
The journal will be published on SciOpen, a platform dedicated to high-quality open research dissemination. Starting Jan 1, 2026, all new submissions must be directed through the journal's submission portal.
Researchers identified a distinct population of activated CD38+ HLA-DR+ CD8+ T cells that expands in patients at risk for acute graft-versus-host disease (aGVHD). Tracking this subset can predict disease onset and guide treatment, with targeted therapy offering a promising avenue for precise intervention.
A new strategy for parallel adaptive Cartesian grid generation is introduced, combining features of generated grid cells and estimating iterations needed. This approach significantly speeds up grid generation using the same number of cores, improving computational efficiency and scalability.
A novel parameterization method for orbits near collinear libration points has been developed, allowing for systematic cataloging and robust identification of cislunar objects. The method enables the characterization of motion along two directions, providing critical insight into spacecraft maneuvers and transfer events.
A new study examines behavioral mechanisms of rural distributed photovoltaic development, finding that collaboration between PV enterprises and village organizations is key to expanding adoption. The research also highlights the importance of balancing self-consumption requirements with grid capacity constraints.
Researchers have developed a refined mouse model that mimics chronic Pseudomonas aeruginosa lung infection in old age, overcoming limitations in experimental respiratory infection research. The agar bead-based delivery strategy allows sustained observation of infection dynamics, tissue damage, and immune responses in aging lungs.
The double swept waverider demonstrates outstanding comprehensive performance through numerical simulation verification. It maintains an ideal longitudinal static stability margin of approximately 2%, laying a solid foundation for practical engineering applications.
A new global modeling study introduces a differentiated carbon pricing mechanism to coordinate regional carbon prices with cost-fairness. This approach helps raise climate ambition by reducing trade and welfare imbalances, particularly for energy-intensive and trade-exposed industries.
Materials and Solidification journal focuses on original research on solidification of various materials, including metals, semiconductors, and polymers. The journal covers topics like solidification processing, non-equilibrium phenomena, and multi-physical fields.
A team of material scientists created a machine learning model that predicts gas-sensing performance using first-principles calculations. The model achieved a prediction accuracy of 96% in five-fold cross-validation and F1 scores of 1.000 and 0.933 in independent test sets.
Recent progress in designing lighter, faster, and more resource-efficient multimodal AI systems is highlighted in a comprehensive survey. Vision token compression techniques and emerging architectures like mixture-of-experts selectively activate model components to increase capacity without proportional increases in computation.
Research reveals that the hexosamine biosynthetic pathway promotes O-GlcNAc glycosylation of SNAP25, enhancing SNARE complex assembly and facilitating exosome release. Elevated glucose availability increases SNAP25 O-GlcNAcylation levels, strengthening its interaction with other SNARE partners.
Researchers have developed electrocatalytic glycerol oxidation (GOR) technology to convert waste glycerol into valuable chemicals. The process offers an energy-efficient alternative to traditional oxygen evolution reaction, producing high-value products like dihydroxyacetone and glyceric acid.
Researchers developed a comprehensive review on magnetic coupling technologies for efficient and robust underwater wireless power transfer. Optimized electromagnetic structures and control schemes improve power transfer efficiency and operational reliability for autonomous underwater vehicles.
Researchers propose a comprehensive framework for marine digital twin systems to overcome challenges in data interoperability, prediction accuracy, and decision-making. The framework enables real-time monitoring, simulation, and optimization in marine engineering processes.
Research on organophosphonate covalently modified polyoxometalates reveals the synthesis strategies, structural design, and performance characteristics of organic-inorganic hybrid materials. These materials exhibit broad applications due to their redox activity, structural tunability, low toxicity, and high stability.
The study synthesized organic–POM hybrids based on berberine, which exhibited distinct antiviral effects against EMCV. BR-EuSiW was found to have dose-dependent antiviral ability, possibly acting at the virus biosynthesis stage to inhibit proliferation.
A study led by Dr. Zhao identified key molecular mechanisms driving human scalp aging, including the decline of hair follicle stem cells and altered signaling pathways. The research offers potential pathways for future drug development and sheds light on the causes of age-related pigment changes.
Researchers at National University of Singapore used machine learning models to predict traffic congestion in Alameda County before, during, and after the pandemic. The study found that Bi-LSTM models were more accurate than traditional forecasting tools and provided transparent insights into the drivers of congestion changes.
A new framework for ride-pooling addresses low matching efficiency and promotes flexible cooperation. The multi-level coalition formation game framework consistently improves vehicle utilization, reduces travel costs, and fosters cooperation in diverse regional contexts.
Researchers developed PriorFusion, integrating semantic, geometric, and generative shape priors to improve road element perception in complex urban scenarios. The method outperforms state-of-the-art methods in difficult scenarios like intersections and occluded areas, achieving an overall mAP of 70.4%.
A new framework, MARL-OD-DA, offers a promising answer to making AI truly scalable and reliable for real-time traffic assignment. The approach redesigns learning agents at the origin–destination level, utilizing Dirichlet-based continuous actions to achieve stable and high-quality solutions under dynamic travel demand.
A team of researchers proposes a novel attention-based graph neural network to estimate network-wide traffic flow across multiple cities. The model leverages correlations between road traffic flow and urban characteristics, such as building structures, human activity, infrastructure connectivity, and dynamic traffic conditions.
Researchers have developed a new additive, 2-FBSA, to address interfacial challenges in lithium metal batteries. The additive regulates both electrode interfaces effectively, accelerating Li+ transport kinetics and improving battery cycling stability. This results in prolonged battery lifetime and outstanding capacity retention.
A new study by Tsinghua University Press presents a highly integrated, stretchable sensor array capable of detecting pressure, strain and inferring material hardness. The system achieves 100% classification accuracy in classifying fruits with different hardness levels and maturity stages.
Researchers at Tsinghua University Press propose integrating AI technology into launch vehicles to address challenges of high-frequency launches and reliable flights. The system aims to achieve hour-level test, inspection, and decision-making times for large launch vehicles.