Wenzhou University

Trifunctional Catalysis via Oxalate Supported Pt−Fe Dual Atoms to Break Site Spatial Restriction in Heterogeneous Catalytic Alkyne Hydrosilylation

Abstract The development of heterogeneous catalysts for alkyne hydrosilylation is critical, yet it remains limited by spatially confined metal sites that are inadaptable to multiple substrate activation and steric hindrance, leading to low efficiency and poor Markovnikov selectiv...

Space-ConfinedGrowth of 2D Ultrathin Ternary CdZnTeFlakes toward High-Performance Photodetectors

Abstract Two-dimensional (2D) CdZnTe has been highly anticipated in high-performance photodetectors because of its excellent optoelectronic properties and the quantum confinement effect in 2D scale. However, due to the intrinsically nonlayered structure, the current obtained 2D C...

Biomechanical responses to increased longitudinal bending stiffness differ between novice and experienced runner profiles

Carbon-plated footwear has primarily been developed and evaluated in trained or competitive runners. However, whether novice runners exhibit similar biomechanical responses to increased longitudinal bending stiffness (LBS) as experienced runners remains unclear. Therefore, the pu...

Satellite–Argo Reconstruction of the Mesoscale-Eddy Sound-Speed Field and Its Effect on Towed-Array Gain: A Differentiable Framework with Bounded Acoustic Feedback

We reconstruct the four-dimensional sound-speed field of mesoscale eddies from satellite sea-level anomaly and sparse Argo profiles with a geostrophically constrained coordinate network, and connect it to array-level acoustics through a differentiable parabolic-equation model and...

Satellite–Argo Reconstruction of the Mesoscale-Eddy Sound-Speed Field and Its Effect on Towed-Array Gain: A Differentiable Framework with Bounded Acoustic Feedback

We reconstruct the four-dimensional sound-speed field of mesoscale eddies from satellite sea-level anomaly and sparse Argo profiles with a geostrophically constrained coordinate network, and connect it to array-level acoustics through a differentiable parabolic-equation model and...

A Toolset-FirstParadigm Based on Large Language Modeland Agent via Model Context Protocol for Intelligent Computation

Abstract Large language models (LLMs) and agents have lately propelled advances in artificial intelligence for science (AI4S). In this work, we propose a toolset-first paradigm for intelligent computation that decouples the tools from the agents via the model context protocol (MC...

Regulating Solvation Chemistry via Strongly Coordinating Anion and Weakly Solvating Cosolvent for Low‐Temperature Sodium Metal Batteries

ABSTRACT Sodium metal batteries (SMBs) hold great promise for next‐generation energy storage systems due to their abundant sodium resources, high theoretical specific capacity, and low redox potential. However, they suffer from rapid capacity degradation at low operating temperat...

Assessing Inequality of Financial Opportunity in China: A Machine Learning Approach

ABSTRACT Measuring inequality of financial opportunity is important for understanding disparities in financial resource allocation and their fairness implications. This study employs machine learning techniques to deliver a data‐driven assessment of financial opportunity inequali...

Nanoconfinement Engineering Enables Pt Nanocrystals in MOF-on-MOF Derived Nanoporous Carbon Microspheres for Hydrogen Evolution

Abstract Developing Pt-based catalysts with maximized atomic utilization and optimized electronic structures remains crucial for accelerating the cathodic hydrogen evolution reaction (HER). Herein, we develop a MOF-on-MOF-derived confinement strategy to construct a defect-mediate...

Peptide-targeted cubosome and hexosome nanoassemblies mitigate mitochondrial dysfunction in a MitoPark model

Mitochondrial dysfunction is a primary pathogenic mechanism underlying dopaminergic neuron loss in the nigrostriatal pathway in Parkinson's disease (PD). To investigate mitochondrion-targeted therapeutic strategies, we utilized the MitoPark mouse model, in which mitochondrial tra...

All-Optically Controlled Memristive Reservoir Computing Capable of Bipolar and Parallel Coding

Physical reservoir computing (RC) utilizes intrinsic dynamics of physical systems for efficient data processing. Emerging optoelectronic RC platforms merge the benefits of electronic and photonic computation. However, conventional designs are constrained by the unipolar photoresp...