Shaanxi University of Science and Technology

MSSFFE-Net: a fine-grained object recognition network based on multi-scale spatial-frequency domain feature enhancement

The challenge of few-shot fine-grained image classification lies in the scarcity of labeled training samples, which hinders models from learning subtle discriminative patterns. Moreover, most existing methods rely heavily on spatial-domain convolutional operations while overlooki...

Enhancing Near‐Room‐Temperature Thermoelectric Performance of n‐Type Mg 3 (Sb, Bi) 2 ‐Based Materials via ZrB 2 Heterointerface Engineering

ABSTRACT Mg 3 (Sb, Bi) 2 ‐based thermoelectric materials have shown considerable potential for low‐grade waste‐heat recovery near room temperature. However, their thermoelectric performance remains limited by the strong coupling among electrical conductivity, Seebeck coefficient,...

Steering Isotropic Li 2 S Growth via Bi‐Metallic Coupling: d ‐State Reengineering for Durable Li‐S Batteries

ABSTRACT Uncontrolled Li 2 S accumulation and high nucleation barriers severely hinder the sulfur utilization and cycle lifespan of lithium‐sulfur batteries (LSBs). Herein, we report an advanced bimetallic Mo 2 V 2 C 3 T x MXene as a functional separator modifier designed to acce...

3D Hierarchical Water‐Salt Transport Networks for Highly Efficient Solar‐Driven Interfacial Evaporation

ABSTRACT Solar‐driven interfacial evaporation (SDIE) offers a sustainable pathway for freshwater production, yet conventional hydrogel evaporators are hindered by high pore tortuosity, prolonged diffusion pathways, and interfacial salt accumulation that severely compromise long‐t...

Preparation of Salt‐Resistant Gemini Surfactants via Ethylene Oxide Group Regulation for Enhanced Oil Recovery

ABSTRACT Conventional anionic surfactants generally exhibit poor salt tolerance and reduced interfacial activity under high‐salinity reservoir conditions, limiting their application in enhanced oil recovery (EOR). To address this issue, a series of anionic–nonionic isotridecanol...

Prediction of Compressive Strength of CSGR Based on Optimized Machine Learning with Sparrow Search Algorithm

Abstract Cemented sand, gravel, and rock (CSGR) is an emerging dam material, and accurately predicting its compressive strength is essential for reliable mix-proportion design. Using 342 experimentally measured samples, this study develops an SSA-optimized machine-learning framew...

A Heterogeneous Metal–LigandBifunctional Catalystfor Chemoselective Hydrogenation of α,β-Unsaturated Aldehydes

Abstract The concept of metal–ligand bifunctional catalysts has been extensively explored in homogeneous catalysis, yet it has not been reported in conventional heterogeneous catalysis. Inspired by the outer-sphere hydrogenation mechanism in homogeneous metal–ligand bifunctional...

Integrated metagenomic and phosphorus fractionation analyses elucidate the mechanism driving soil phosphorus immobilization under erythromycin stress

Erythromycin (EM) is widely detected in agroecosystems, yet its mechanistic impact on microbially driven soil phosphorus (P) cycling remains limited. Here, we integrated Hedley P fractionation with metagenomic sequencing in soil microcosms exposed to EM (0, 10, and 50 mg/kg) to t...

A Multi-Criteria Evaluation Method for Interactive Interface Layouts in Smart Digital Museums Based on RANCOM–LOPCOW–TOPSIS

Digitalization and intelligent interaction technologies are transforming museum services, making interactive interfaces important for cultural information access and user experience. Existing studies often examine aesthetics, usability, visual cognition, or emotional experience s...

Microcomb-driven large-scale fully connected quantum network

Abstract Fully connected quantum networks enable simultaneous connection of every user to every other user and are a highly versatile and robust networking architecture. However, the scalability of such networks remains a great challenge for practical applications. Here we constr...

In Situ Encapsulation of High‐Efficiency CsPbBr 3 Quantum Dots in Silica Aerogel for Ultra‐Stable Luminescence in Aqueous and High‐Temperature Environments

ABSTRACT All‐inorganic perovskite quantum dots (PQD) have become the most promising next‐generation luminescent material due to their excellent luminescent properties. However, as an ionic crystal, their stability is the biggest problem for their large‐scale application. Especial...