Results 161 to 170 of about 4,571,541 (292)

Multi-Band Metamaterial Absorber: Design, Experiment and Physical Interpretation

, 2014
This paper presents the design, fabrication, characterization and experimental verification of a perfect Multi-Band Metamaterial (MTM) absorber (MA) based on a simple configuration of a rectangular resonator and strips operating in microwave frequency ...
Dincer, F., Sabah, C., ÜNAL, EKİN ANIL, KARAASLAN, MUHARREM, Akgol, O.   +4 more
core  

Resonance-Anchored Residual Surrogate for Spectral Prediction and Inverse Design of Multiple Terahertz Metamaterial Absorber Topologies. [PDF]

Nanomaterials (Basel)
Li G, Qu W, Huang Y, Wang Y, Yi Q, Deng H.   +5 more
europepmc   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Energy, Exergy, Economic, Environment Analysis and Multiobjective Optimization of the Organic Rankine Cycle Integrating an Absorption Heat Transformer Driven by Geothermal Energy for Data Center Power Supply and Waste Heat Recovery. [PDF]

ACS Omega
Chen Z, Wu X, Li H, Hu H, Yang S.
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Photon cascade engineering in AgCdF₃/Cu₂GeSiS₄ dual-absorber solar cells: from spectral complementarity to device excellence. [PDF]

RSC Adv
Hossain MF, Himel HA, Al-Humaidi JY, Badi N, Al-Atawi FH, Irfan A, Rahman MF.   +6 more
europepmc   +1 more source

Influences of wave directionality on a generic point absorber.

, 2009
The present study deals with the influences of wave directionality on a generic point absorber. The work presented here, shows how the dynamic of axisymmetric wave energy converter can be affected when one consider a realistic wave spectrum. For this purpose a non linear numerical model was used.
Gilloteaux, Jean-Christophe, Ringwood, John   +1 more
openaire   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Evaluating an alternative Pt-W alloy as a low-n EUV mask absorber: Film properties and imaging performance. [PDF]

iScience
Li Z, Tang H, Wang X, Tian H, Wang Y, Hu H.   +5 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source