Results 71 to 80 of about 8,888,697 (293)
Advanced Functional Materials, EarlyView.This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
wiley +1 more source
Scientific ReportsLong-term multivariate time series forecasting plays a critical role in applications ranging from electricity load management to financial risk assessment and climate monitoring. Current deep learning approaches face two fundamental limitations: existing
Panfeng Ding
doaj +1 more source
Development and evaluation of a novel DTIB-LSSVM model for efficient and accurate runoff forecasting
Results in EngineeringEfficient and accurate runoff forecasting is essential for flood prevention and mitigation, water resources management, and ecological protection. However, the runoff process exhibits nonlinearity, non-stationarity, and multi-scale characteristics, which
Wen-chuan Wang +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen +13 more
wiley +1 more source
Forecasting LNG prices using a multi-scale decomposition learning model
International Review of Economics & FinanceThe global energy transition and geopolitical uncertainty have intensified energy-market volatility, leading to sharp fluctuations in liquefied natural gas (LNG) prices and increasing risks for energy security and market stability.
Jianping Wang +4 more
doaj +1 more source
An improved infrared image enhancement algorithm based on multi-scale decomposition
, 2014 Due to the restriction of infrared imaging component and the radiation of atmosphere, Infrared images are discontented with image contrast, blurry, large yawp. Aimed on these problems, A multi-scale image enhancement algorithm is proposed.
Zhang HH(张红辉) +3 more
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Genetically Programmed Shape‐Morphing of Engineered Living Materials
Advanced Functional Materials, EarlyView.Here, bacterial and mammalian engineered living materials (ELMs) are presented, in which living cells direct genetically programmed and enzymatically mediated shape‐morphing. The resulting deformation and shape‐recovery can be actuated in a genetically controlled manner by an ELM incorporating out‐of‐equilibrium counteracting biochemical reactions with
Jan Becker +7 more
wiley +1 more source
Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography
Advanced Functional Materials, EarlyView.In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep +4 more
wiley +1 more source
An Encoder-Enhanced Autoformer for Multi-Scale Parking Availability Forecasting
SystemsParking space availability forecasting is challenging due to noise contamination, non-stationary dynamics, and complex multi-scale temporal dependencies.
Chao Zeng +3 more
doaj +1 more source
Geometrical Decomposition of Multi-scale Systems
, 2008 This paper is devoted to the slow/fast decomposition of multi-scale system by using the integral manifolds method Keywords: decomposition, integral manifolds, multi-scale systems, singular perturbation AMS subject classification: Primary 34D15 ...
V. A. Sobolev
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