Results 111 to 120 of about 64,008 (285)
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
Transformer-based and MLP-based methods have emerged as leading approaches in time series forecasting (TSF). However, real-world time series often show different patterns at different scales, and future changes are shaped by the interplay of these overlapping scales, requiring high-capacity models.
Hu, Yifan +4 more
openaire +2 more sources
Covalent organic frameworks (COFs) with metals have been recognized as versatile platforms for photocatalytic CO2 reduction (CO2PRR). Herein, an overview of metal integration strategies for COFs is systematically summarized. Regulatory mechanisms and structure–activity relationships between metal integration and COF‐based CO2PRR are emphasized.
Jie He +5 more
wiley +1 more source
High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties
High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker +14 more
wiley +1 more source
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Nano‐ and Micro‐Sized Solid Materials Used as Antiviral Agents
Due to the rise of viral infections in humans and possible viral outbreaks, the use of nano‐ or micro‐sized materials as antiviral agents is rapidly increasing. This review explores their antiviral properties against RNA and DNA viruses, either as a prevention or a treatment tool, by delving into their mechanisms of action and how to properly assess ...
Orfeas‐Evangelos Plastiras +6 more
wiley +1 more source
A transformer-LSTM network enhanced by EEMD for ultra-short-term wind power forecasting
This study aims to improve the dispatch safety and economic efficiency of grid-connected wind power systems by addressing the limitations of traditional ultra-short-term forecasting methods, particularly their inadequate extraction of multi-scale ...
YongSheng Wang +6 more
doaj +1 more source
Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels
This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim +8 more
wiley +1 more source
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
A Methodological Comparison of Forecasting Models Using KZ Decomposition and Walk-Forward Validation
The accurate forecasting of surface air temperature (T2M) is crucial for climate analysis, agricultural planning, and energy management. This study proposes a novel forecasting framework grounded in structured temporal decomposition. Using the Kolmogorov–
Khawla Al-Saeedi +4 more
doaj +1 more source
Domain decomposition based parallel computing for multi-scale coronary blood flow simulations
Minh Tuấn Nguyễn +3 more
openalex +2 more sources

