Researchers have developed a new class of ceramic materials with high quality factor (Q×f) and near-zero temperature coefficient for microwave dielectric applications. The materials, achieved through configurational entropy engineering, offer a balance between high Q×f and temperature stability, a long-standing trade-off in the field.
Researchers developed a new method to synthesize hollow nanostructured high-entropy carbides, which exhibit enhanced performance as hydrogen evolution catalysts. The team discovered that the microstructure can be tailored from solid to hollow particles by selecting different carbon sources, resulting in improved catalytic activity.
Researchers examine how composition and processing shape MAB phase behavior, exploring routes from layered ceramics to 2D borides with various mechanical and functional properties. Computational studies identify candidate material systems, while treatments like etching and dealloying create distinct materials with unique properties.
Researchers developed the Unstructured Scene Benchmark to test vision-language models in unstructured road scenes and degraded visual conditions. The study reveals uneven robustness, weak planning ability, and signs of insufficient visual grounding among current models.
Researchers developed Mediator-in-the-Loop-Driving (MILD) framework to enable collaborative decision-making between human drivers and automated systems. The AI-powered mediator continuously interprets driver state and external environment to provide personalized recommendations and explanations.
A new ship weather routing framework uses Deep Reinforcement Learning to optimize fuel consumption and safety under extreme weather conditions. The framework successfully planned detour routes that safely bypassed high-wave and strong-wind waters in extreme weather simulations.
Researchers developed a hybrid AI model that combines physical driving laws with individual human behavior patterns to improve vehicle movement predictions. The model, CPIDLM, reduces distance prediction errors by 16.7% compared to existing methods, providing a more reliable foundation for autonomous vehicles.
Researchers develop COIN, a collaborative interaction-aware reinforcement learning framework for multi-agent self-driving systems, to improve safety and efficiency in complex traffic scenarios. The framework achieves promising results in various evaluations, demonstrating its potential for safer and more efficient autonomous driving.
Researchers have developed a method to generate customizable virtual road networks with adjustable complexity, preserving real-world road features. The approach enables faster identification of functional defects and performance boundaries in autonomous vehicles.
Found-RL integrates vision-language models into reinforcement learning for autonomous driving, achieving competitive driving performance while maintaining real-time policy inference. The platform allows large foundation models to provide semantic feedback without slowing down high-frequency simulation training.
A hierarchical risk-filtering safety assurance framework has been proposed to address AI-driven autonomous driving safety challenges. The framework uses a four-category assessment metric system and layered safety strategies to improve operation safety.
Researchers found China VI trucks can significantly reduce NOx and particle number emissions, but some vehicles still produce high emissions under real driving conditions. After-treatment systems, such as SCR and EGR, play crucial roles in emission control, but their performance varies under different conditions.
The study reveals how policy language mediates the relationship between institutional intent and real-world carbon outcomes, shedding light on a dimension often overlooked. It shows that both China and the US exhibit a weak sustainability paradigm, emphasizing short-term compliance over systemic transformation.
Scientists created large-grain electrodes with connected proton-transport networks, outperforming nanostructured counterparts. The optimized electrode achieved high performance and stability at elevated temperatures.
The researchers introduced Fe into the B site of the BNKBT perovskite lattice, modifying the coexistence of phases and changing local polarization switching. The best balance occurred at x = 0.01, where the ceramic reached a high piezoelectric coefficient and thickness-mode electromechanical coupling factor.
Researchers develop multiscale design strategies to optimize BNT-based ceramics for high-performance energy storage. The strategies focus on regulating polarization behavior, dielectric breakdown strength, and relaxation behavior under different electric fields.
By manipulating the twist angle, researchers can regulate exciton binding energy and bandgap renormalization in bilayer WS2. The study reveals a 265–336 meV tunable exciton binding energy and more than 100 meV variation in bandgap renormalization near the Mott transition.
Researchers develop a new method to create lightweight and efficient electromagnetic wave absorbers using flash Joule heating. This technique, which delivers high power electrical pulses to precursor materials, generates non-equilibrium states that can't be achieved through conventional synthesis.
A research team at Tsinghua University has developed DNA-based nanocarriers with multivalent TPE units for stable NIR-II imaging. The 7-TPE-DNA nanoprobe retains high fluorescence under denaturing conditions, offering improved vascular imaging in living mice.
A team of scientists fabricated 3D biomimetic scaffolds with improved mechanical properties using a femtosecond laser dual-wavelength dual-pulse approach. The dual-pulse strategy achieved a homogeneous, bubble-free structure with clear interlayer bonding, exhibiting a Young's modulus of 148 kPa.
A new synthesis method bypasses the rocksalt intermediate, yielding high-performance LiNiO2 cathodes with improved cycling stability. The method involves a two-step process at relatively low temperatures, enhancing reversible capacity and structural stability.
Researchers have discovered that acid treatment can turn atomic-scale flaws into a tunable knob for optoelectronic performance, but this comes at the cost of electrical degradation. The study highlights the importance of understanding the underlying chemistry and mechanisms behind acid-induced effects.
Researchers systematically summarize MOF advances from nanoscale design to energy applications, covering electrochemical energy storage, electrocatalysis, and photocatalysis. MOFs exhibit exceptional properties for energy conversion and storage, but face challenges in large-scale commercialization.
Researchers developed a triboelectric sensor inspired by octopus suckers, allowing for non-destructive harvesting and in-field quality grading of fresh fruits. The sensor measures gripping force, fruit firmness, and weight, streamlining the supply chain and reducing waste.
A research team developed an EC-based electrolyte with high-voltage stability, mitigating the unstable LNMO/electrolyte interface and achieving long-term cyclability of LNMO batteries. They also found a unique surface restructuring process, minimizing the dissolution of nickel and manganese from LNMO.
Climate change alters role of sediments in PAH pollution, with stored pollutants re-entering water when conditions change. Sediments act as a sink for 13 of 16 PAHs in Yangtze and Huanghe watersheds, but a net source in St. Lawrence system.
Researchers developed a novel nanovesicle platform to enhance NK cell-mediated tumor immunity against gastric cancer. The study showed that engineered nanovesicles effectively promoted interactions between NK cells and HER2-positive gastric cancer cells, resulting in enhanced tumor accumulation and inhibition of tumor growth.
Researchers have developed radiation-resistant sodalite microspheres for efficient adsorption and in-situ immobilization of radioactive Cs+ and Sr2+ ions. The material's high strength, adsorption capacity, and radiation resistance make it a promising solution for nuclear waste management.
A research team mapped China's wastewater treatment plants' non-carbon dioxide emissions hotspot zones, showing national emissions declined until 2015 before increasing again. Targeted regulation of high-emitting facilities can significantly reduce greenhouse gas release.
Food Science of Animal Products (FSAP) has been officially included in the Emerging Sources Citation Index (ESCI), expanding the journal's global reach and credibility. All articles published since 2023 will be indexed, marking a significant milestone in the field of animal-origin foods research.
Researchers have developed Cr3+-doped MgNb2O6 transparent glass ceramics through co-melting and controlled crystallization, exhibiting high transmittance and thermal quenching resistance. The resulting glass-ceramics emit broadband NIR light with a full width at half maximum of 210 nm, making them promising for applications such as nig...
Researchers developed a bayberry-like AgMP/AgNP composite sintered silver paste, achieving high-strength interconnections at 125 °C. The composite system exhibited increased shear strength and reduced resistivity compared to pure microparticle and nanoparticle systems.
Researchers developed a biomimetic polyimide aerogel with integrated molecular crosslinking, nanofiber interlocking, and porous scaffold support, achieving rigid-flexible coupling and extreme condition protection. The material demonstrated high thermal insulation, mechanical robustness, and impact resistance.
A PtPd-Al₂O₃ catalyst enables highly selective and stable electrochemical production of hydrogen peroxide under neutral conditions. The catalyst exhibits outstanding electrocatalytic performance, high Faradic efficiency, and durability, making it a promising solution for sustainable hydrogen peroxide production.
Researchers developed Zn2+-doped Cs-Cu-I perovskite nanocrystals for high-color rendering index white LEDs, overcoming low photoluminescence quantum yield and spectral coverage limitations. The study demonstrates high CRI values and long-term reliability for practical solid-state lighting applications.
A machine-learning-guided process co-optimization framework balances drive current, threshold voltage, and on/off ratio for reliable low-voltage logic on flexible substrates. The approach achieved extracted field-effect mobilities of up to 71 cm² V⁻¹ s⁻¹ and on/off current ratios of 10⁶.
The brain-inspired acoustic-optical system combines a triboelectric acoustic sensor with an oxide neuromorphic transistor to recognize voice commands and drone trajectories. The system demonstrates potential for intelligent voice sensing, multimodal human-machine interaction, and edge computing.
Researchers developed a scalable method to fabricate wafer-scale ultrathin amorphous TeOx thin films using pulsed laser deposition and low-temperature thermal oxidation. The resulting p-channel thin-film transistors exhibited excellent electrical performance, including high hole mobility and current on/off ratio.
Scientists discovered that laser reduction selectively removes epoxide functional groups while vacancy defects accumulate, weakening the material's resistance to cyclic loading. This selective chemical evolution fundamentally weakens the material's fatigue reliability.
A new catalyst, CeHfZr, enhances CO2 conversion to ethylene with 26% conversion rate and 164.6 μmol per gram per hour production rate. The catalyst's hydrogen-bonded network optimizes plasma discharge mode, shifting from gas-phase to surface-mediated catalysis.
The Journal of Neurorestoratology has returned to SciOpen, a digital publishing platform with over 200 journals and 230 countries, offering a more dynamic and globally connected publishing environment. All new submissions should be made via the new ScholarOne system starting September 1, 2026.
Researchers developed a novel precipitation-densification strategy to achieve hardness-toughness synergy in triphase silicon nitride ceramics. The strategy harnesses phase-transition kinetics to coordinate phase composition, microstructure, and interfacial structure, resulting in high hardness and toughness.
Researchers introduced a reversible redox reaction into organic electrochemical transistors to overcome ionic instability, resulting in enhanced synaptic behavior. The azobenzene-based device exhibited improved long-term potentiation, stable multistate conductance modulation, and linear potentiation and depression characteristics.
Researchers developed atomically dispersed Cu-doped Er2O3 electrocatalysts to boost CO2-to-CH4 conversion efficiency and selectivity. The built-in electric field modulates interfacial water configuration, accelerating proton transfer and optimizing CO2RR intermediate adsorption.
Researchers developed a nanozyme that mitigates intervertebral disc degeneration by regulating oxidative stress, ferroptosis, and mitochondrial dysfunction. The nanozyme restored cellular energy metabolism and promoted mitophagy, improving disc health.
A new diagnostic method using labelled white blood cells has been developed to diagnose and monitor necrotizing external otitis, a rare disease of the skull base. The method, known as 99m Tc-HMPAO labelled autologous leukocyte scintigraphy, shows high sensitivity and specificity in detecting the disease and its recurrence.
Researchers have developed a vapor-assisted pre-solvation strategy to break the stability bottleneck of PbS-PbI2 QD inks, enabling the formation of highly stable inks with exceptional stability, high device efficiency, and large-area solution processability.
A new graphene oxide membrane developed by Tsinghua University researchers can efficiently separate Li+ from low-quality brines using counter-ion controlled ionic sieving. The membrane demonstrated 99.53% Mg2+ rejection and upgraded brine quality, opening up a new strategy for sustainable Li+/Mg2+ separation and resource recovery.
Researchers developed a reactive phase-transformed contact strategy to protect 2D semiconductor surfaces and form functional metallic electrodes. The method improved device performance by reducing contact resistance and enhancing carrier injection.
Researchers aim to track single-neuron activity across distributed brain regions throughout life, overcoming limitations in existing brain recording technologies. Emerging strategies in materials, device architecture, and implantation may support future neural interfaces.