Results 71 to 80 of about 77,164 (345)

Plasmonic Nanomachines: Creating Local Potential Gradients and Motions

Advanced Materials, EarlyView.
Plasmonic nanomachines can generate optical, thermal, and chemical potential gradients to drive directional rectilinear, rotational, and twisting motions at the nanometer scale. The integration of multimodal plasmonic forces with functional materials and programmed structural distortions enables precise spatiotemporal actuation, thereby providing a ...
Yoonhee Kim, Soohyun Ji, Donghyun Choi, Jwa‐Min Nam   +3 more
wiley   +1 more source

Application of FDS and firefoam in large eddy simulations of a turbulent buoyant helium plume [PDF]

, 2011
Large eddy simulations are conducted in the near-field region of a large turbulent buoyant helium plume. Such plumes are of relevance for fire safety research due to the similar flow features as in the buoyant (smoke) plumes above the fire source.
Maragkos, Georgios, Merci, Bart, Rauwoens, Pieter   +2 more
core   +1 more source

Gas premixed combustion at high turbulence. Turbulent flame closure combustion model [PDF]

Experimental Thermal and Fluid Science, 2000
Abstract This paper is devoted to analyze the special class of turbulent premixed flames that we call intermediate steady propagation (ISP) flames. These flames are common to industrial premixed combustion chambers which operate at intensive turbulence when velocity pulsations are significantly higher than the flamelet combustion velocity.
openaire   +1 more source

Integrating ZnO/Ag2O@g‐C3N4‐Based Nanocomposites Into a Carrageenan Matrix to Efficiently Remove Heavy Metals From Water

Advanced Materials Interfaces, EarlyView.
ABSTRACT This research focused on characterizing graphitic carbon nitride (g‐C3N4) nanocomposites incorporated with ZnO and Ag2O nanoparticles, and carrageenan to remove heavy metals. The ZnO/Ag2O@ g‐C3N4 and ZnO/Ag2O/g‐C3N4@Carr nanocomposites demonstrated thermal stability of 97.40% (108.81°C) and 82.80% (188.99°C) for TGA.
Feziwe B. Mamba, Bhekani S. Mbuli, James Ramontja   +2 more
wiley   +1 more source

Deep learning driven uncertainty quantification analysis for combustion modeling of turbulent non-premixed jet flames

Applications in Energy and Combustion Science
Chemical kinetic and turbulent combustion model uncertainties can significantly affect the reliability of combustion simulations. Quantifying these uncertainties is therefore essential but remains computationally prohibitive, as classical uncertainty ...
Chengqi Zhang, Bin Yang, Kai Hong Luo
doaj   +1 more source

Exploring the Potential of Zero‐Dimensional Carbon Nanomaterials in Photoluminescent, Electrochemiluminescent and Electrochemical Sensors

Advanced Materials Interfaces, EarlyView.
Zero‐dimensional carbon nanomaterials are presented as multifunctional platforms linking structure, property, and sensing performance. Surface engineering and heteroatom doping modulate electron‐transfer and luminescent behavior, enabling electrochemical, photoluminescent, and electrochemiluminescent detection. Fundamental design principles, analytical
Gustavo Martins, Jeferson Luiz Gogola, Ava Gevaerd, Cristiane Kalinke, Paulo Roberto de Oliveira, Fabio Roberto Caetano, Bruno Campos Janegitz, Márcio Fernando Bergamini, Luiz Humberto Marcolino‐Junior   +8 more
wiley   +1 more source

NOx Formation in MILD Combustion: Potential and Limitations of Existing Approaches in CFD

Frontiers in Mechanical Engineering, 2020
Emissions of nitrogen oxides (NOx) from combustion systems remain a lingering environmental issue, being these species either greenhouse gases or acid rain precursors.
Salvatore Iavarone, Alessandro Parente
doaj   +1 more source

Light‐Programmable Interfaces: From Molecular Photoswitching to Adaptive Membrane Separations

Advanced Materials Interfaces, EarlyView.
This review advances an interface‐centered framework for light‐responsive membranes, linking molecular photoswitches (azobenzene (AZO), spiropyran (SP), diarylethene (DAE), donor–acceptor Stenhouse adducts (DASA), photoacid) to integration strategies in polymeric, porous, self‐assembled, and mixed‐matrix systems.
Liangliang Zhang, Senlin Gu, Jianyang Zhao, Xiaojuan Hao, Lu Hua Li, Jihua Li, Lingxue Kong   +6 more
wiley   +1 more source

A robust autoregressive long-term spatiotemporal forecasting framework for surrogate-based turbulent combustion modeling via deep learning

Energy and AI
This paper systematically develops a high-fidelity turbulent combustion surrogate model using deep learning. We construct a surrogate model to simulate the turbulent combustion process in real time, based on a state-of-the-art spatiotemporal forecasting ...
Sipei Wu, Haiou Wang, Kai Hong Luo
doaj   +1 more source

Influence of Carbon Nanoparticles on Electrically Induced Wear of Grease‐Lubricated Steels

Advanced Materials Interfaces, EarlyView.
When an electric current enters a pair of rubbing surfaces, enormous damage takes place. In this research, how such damage occurs in the presence of protective grease and the mitigation with added carbon nanoparticles, were investigated. It was discovered that those particles regulate transport and interfacial electrical stability of the grease ...
Mohammad Humaun Kabir, Darrius Dias, Jacob Bons, MD Wasek Foysal, Evan Johnson, Joe Kosmoski, Hong Liang   +6 more
wiley   +1 more source