Kunming University of Science and Technology

A Critical Evaluation of Kolmogorov–Arnold Networks for Shear-Wave Slowness Prediction from Well Logs

Kolmogorov–Arnold networks (KANs) are increasingly applied to well-log and reservoir problems, but their evaluation protocols rarely control preprocessing leakage, replicate comparators across seeds, or test depth-shifted generalization. This study evaluates a KAN for predicting...

Impurities and defects in Czochralski silicon: mechanisms of their effects on carrier lifetime, power conversion efficiency, and resistivity uniformity

Monocrystalline silicon grown by the Czochralski (CZ) method is the dominant material for crystalline silicon solar cells; in this material, impurities and defects directly determine wafer quality and device performance by governing three core metrics: minority carrier lifetime,...

Mechanism-Guided Molten Salt Engineering via First-Principles Molecular Dynamics for Efficient Titanium Extraction and Waste Salt Mitigation

Abstract Efficient chlorination of low-grade titanium slag demands a molten salt capable of withstanding the sustained enrichment of Mg/Ca chloride impurities without compromising transport properties. NaCl is widely regarded as an ideal molten salt medium. However, the atomic-le...

A traffic safety resilience assessment incorporating conflict risk: application and comparison on two open roads with lateral interferences

Lateral interferences on open roads cause conflicts and delays that dissipate at varying rates, implying that open roads have different risk-absorption capacities. This study develops a traffic safety resilience (TSR) framework combining crossing time-to-collision (CTTC) with tim...

Computational design of Al-Mg-Si alloy compositions and optimization of its heat treatment

Currently, a major scientific and engineering hotspot lies in the synergistic enhancement of aluminum alloy properties through optimizing composition and heat treatment processes, aimed at both boosting performance and conserving energy. In 6xxx-series aluminum alloys, the intera...

High‐Entropy Engineering to Stabilize Single‐Atom Ru Catalysts for Efficient and Durable Water Splitting

ABSTRACT Developing efficient and durable electrocatalysts for oxygen and hydrogen evolution reactions (OER/HER) remains fundamentally challenging due to the intrinsic trade‐off between activity and stability. We herein report a high‐entropy‐engineered strategy to stabilize singl...

Exploring the binary-plastic synergistic effect on waste rubber-plastic TPEs modified asphalt from multiple perspectives

The hybrid modification of asphalt binder with waste rubber and plastic can effectively balance its rheological performance across a wide temperature range. Nevertheless, the diversity of recycled plastic type results in prominent variations of rubber-plastic thermoplastic elasto...

Navigating resource constraints in the Yellow River Basin: Drivers and coupling dynamics of the Water-Land-Energy-Carbon nexus

Facing critical resource depletion in the Yellow River Basin, this study establishes a unified framework to analyze the coupled interactions of Water, Land, Energy, and Carbon (WLEC). We quantified WLEC resource distribution, assessed the spatiotemporal dynamics of coupling coord...

Esophageal cancer burden across 48 Asian locations, 2009–2023: demographic decomposition and exploratory projections

Asia carries most of the global esophageal cancer burden, but trends in rates may differ from changes in service demand. We assessed burden across 48 Asian locations during 2009–2023. We analyzed Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 estimates of...

Dynamic event-triggered adaptive cooperative control for robotic manipulator with output constraints and model uncertainties

This paper introduces an adaptive fuzzy-based dynamic event-triggered adaptive cooperative control to address the challenge of achieving high-performance control for robotic manipulators under model uncertainties and output constraints. This strategy designs a signal-processing-b...

Interpretability-enhanced temporal surrogate modeling for wave-induced scour vulnerability assessment of vertical-wall structures

Scour compromises the stability and safety of vertical-wall structures, necessitating a systematic method to assess scour vulnerability. However, two key vulnerability elements remain unresolved, namely suitable grading thresholds and an efficient temporal scour surrogate model....

A telomere-to-telomere reference genome for Rosa roxburghii reveals lineage-specific diversification of triterpenoid biosynthesis

Abstract Rosa roxburghii ( RRT ) is a nutritionally and medicinally important Rosaceae species that accumulates diverse bioactive compounds, making it an excellent system for investigating the genetic basis and evolutionary diversification of specialized metabolism. Here, we repo...

Interfacial Multidentate Chelation Enabled Anti‐Aggregation Self‐Assembled Monolayers for High‐Performance Inverted Perovskite Solar Cells

ABSTRACT The quality of self‐assembled monolayers (SAMs) and the defect density at the perovskite buried interface are key factors determining the performance of inverted perovskite solar cells (IPSCs). However, the inherent aggregation of SAM molecules at this interface limits f...

Dynamic Machine Learning for the Oxygen Evolution Reaction: From Static Catalyst Screening to Working-State Trajectory Learning

Efficient water electrolysis is limited not only by the sluggish kinetics of the oxygen evolution reaction (OER), but also by the dynamic reconstruction and degradation of catalysts under operating bias. Machine learning (ML) has accelerated OER catalyst screening by linking prec...

A generalizable biopsychosocial risk score for stratifying disease vulnerability in healthy populations

Prospective risk stratification of future adverse health outcomes before clinical onset among ostensibly healthy individuals is an important goal of preventive and precision medicine, yet current tools remain largely disease-specific and do not provide an integrated measure of he...

AI tools drive innovation in sports firms through employee experiences moderated by perceived digital transformation climate

Abstract This study investigates how artificial intelligence tools improve perceived innovation capability within sports firms, focusing on the parallel mediating roles of workplace enjoyment and supportive climate, organizational identification, and AI-enhanced work engagement,...

Enhanced antimicrobial activities of nicotine-enriched hydrothermal liquids from tobacco wastes

Hydrothermal carbonization (HTC) offers a promising pathway to convert alkaloid-rich tobacco wastes into functional carbon materials and bioactive liquids. However, the release behavior of nicotine during HTC and the relationship between nicotine occurrence and the antimicrobial...

Multiscale mechanical degradation of layered sandstone under different water–rock interactions

Previous studies on the water-induced deterioration of layered rock masses have focused primarily on hydrostatic immersion, whereas the mechanism by which water flow decreases the mechanical properties of minerals and induces rock failure remains unclear. In this study, layered s...

Multi‑objective optimisation and experimental validation of a compact energy‑efficient active regeneration burner for diesel particulate filter regeneration

Active regeneration burners are essential for diesel particulate filter (DPF) regeneration. However, they are often constrained by low flow utilisation, excessive gas velocity, and inadequate mixing between combustion products and exhaust gas, leading to poor thermal efficiency a...

Multi-objective optimization method for hybrid isolation systems using explicit seismic response prediction

In highly seismic regions, a hybrid isolation system integrating isolators and viscous dampers can achieve both isolation efficiency and displacement control. However, the quantitative design of damper parameters lacks theoretical guidance. To address this bottleneck, this study...