Nanjing University of Information Science and Technology

All electrical sub-nanosecond field-free switching of perpendicular magnetization with high magnetic field immunity

Spin-orbit torque magnetic random-access memory is a promising next-generation non-volatile memory technology featuring low power consumption, rapid operation, and high endurance. Conventional spin-orbit torque-induced deterministic perpendicular magnetization switching, however,...

Pressure-Robustness in Stokes-Darcy Optimal Control Problem with Reconstruction Operator

This paper presents a pressure-robustness discretization for optimal control problems governed by the Stokes-Darcy system. We revisit the divergence constraint and interface normal continuity within a mixed finite element framework. A reconstruction operator is incorporated into...

Spatiotemporal linkage and transmission of urban heat islands in the Yangtze River Delta urban agglomeration: the role of urban heat advection

Abstract. Urban heat islands (UHIs) substantially modify the urban thermal environment, yet the contribution of non-local processes such as urban heat advection (UHA) in dense urban agglomerations remains poorly quantified. Using five years of high-density automatic weather stati...

A Deep‐Learning‐Based Wind Gust Estimation Scheme in Complex Terrain

Abstract Accurate prediction of gusts is critical for risk mitigation, but the turbulent processes that generate gusts are unresolved in conventional numerical weather prediction models. Here we introduce a deep‐learning‐based wind gust estimation scheme (DL‐GUST) that uses archi...

Performance Evaluation of IMERG and GSMaP Hourly Precipitation Products for Landfalling Typhoon Rainfall in China

This study systematically evaluates the performance of GPM_IMERG and GSMaP_Gauge hourly precipitation products in typhoon rainfall over Mainland China. Using hourly gauge observations from the China Meteorological Administration (CMA)’s national basic meteorological stations as r...

A diffusion-based multi-style image generation framework with adaptive weighted style fusion

Diffusion-based multi-style image generation aims to preserve the semantic structure of a content image while integrating visual characteristics from multiple style references. Existing style transfer and diffusion-based methods often rely on single-style guidance, fixed prompts,...

Changes of Precipitation Extremes and Persistence Over the Tibetan Plateau Projected by a Convection‐Permitting Model

Abstract Extreme precipitation has increased over many regions in recent decades, but the simulation and projection remain particularly challenging over complex terrains, such as the Tibetan Plateau (TP). Here, we investigate the future changes in precipitation extremes and persi...

A Novel SIF-Based Framework Outperforms Empirical Models in Regional Ozone Stress Assessment for Winter Wheat

We integrated satellite SIF, climate, and MODIS datasets to evaluate regional ozone (O3) impacts on winter wheat. By coupling rMLR and Ball-Berry-Leuning (BBL) models, we simulated net photosynthesis (An) and canopy conductance (Gc) to estimate SIF-based stomatal O3 flux (SIF_POD...

HearT : Enabling Acoustic Sensing of Ingested-Liquid Temperature via Hydrodynamic Vibration Modeling

Drinking water temperature is linked to gastrointestinal diseases such as gastroesophageal reflux disease, esophageal cancer, and functional dyspepsia. This paper presents HearT , a headphone-deployable system that leverages fluid dynamics–based vibration modeling to infer the te...

Intelligent fingerprinting of semi-volatile and intermediate-volatility organic compounds (S/IVOCs) from cooking emissions using pixel-resolved GCxGC-MS analysis

Semi-volatile and intermediate-volatility organic compounds (S/IVOCs) emitted from cooking are important secondary organic aerosol (SOA) precursors, yet their broad volatility range, chemical complexity, and extensive unresolved chromatographic signals hinder comprehensive charac...

Revealing spatial patterns and depth-dependent controls of soil organic carbon density across China using interpretable machine learning

Abstract Soil organic carbon density (SOCD) is a key indicator of soil health and a critical component of terrestrial carbon storage, yet its large-scale spatial organization and environmental controls remain insufficiently understood. Here, we assessed national-scale patterns an...

Drivers of flash flood frequency and intensity in the United States: a quantitative analysis of hydrometeorological interactions

Abstract. Inconsistent changes in precipitation and flooding have spurred investigations into the underlying mechanisms, yet the quantitative understanding of interactions between precipitation, temperature, and land cover in streamflow dynamics remains limited. We investigate st...

Demand Forecasting for Emergency Supplies in Public Health Emergencies via Multimodal Semantic Alignment and Joint Trend–Fluctuation Modeling

Demand forecasting for emergency supplies is critical for public health emergency response, but demand sequences are strongly affected by external factors such as epidemic progression, traffic control, medical resource adjustments, and weather conditions, leading to stage-wise dr...

Refined Multi-Source Satellite and Reanalysis Diagnostics Reveal Topographic Anchoring and Thermodynamic Control of the Tibetan Plateau Ozone Valley

The Tibetan Plateau ozone valley is a prominent summertime ozone minimum in the Northern Hemisphere upper troposphere–lower stratosphere (UTLS), with implications for regional radiative balance and climate. Although previous studies emphasized large-scale circulation during the A...

Photovoltaic Panel Identification and Potential Assessment Based on Remote Sensing and Deep Learning: A Case Study of Yancheng City

The rapid expansion of PV power stations necessitates precise spatial mapping and balanced development planning, yet trade-offs between PV deployment and ecological conservation remain underexplored. This study evaluates the spatial distribution and development potential of PV in...

Parameter Recovery for the Three‐Dimensional Primitive Equations With Magnetic Field via Continuous Data Assimilation

ABSTRACT In this paper, we investigate the parameter recovery within the Azouani–Olson–Titi (AOT) continuous data assimilation framework for the three‐dimensional (3D) primitive equations with magnetic field. We analyze the long‐time error between the reference and assimilation s...