Results 161 to 170 of about 2,960,959 (361)

Beyond Global Mechanical Properties: Bioinspired Triply‐Periodic Minimal Surface Cellular Solids for Efficient Mechanical Design and Optimization

Advanced Engineering Materials, EarlyView.
Using novel probe‐based metrics, this study evaluates lattice structures on criteria critical to cellular solid optimization. Triply‐periodic minimal surface (TPMS) lattices outperform other lattices, offering more predictable mechanical behavior in complex design spaces and, as a result, higher performance in optimized models.
Firas Breish, Christian Hamm, Reinhold Kienzler   +2 more
wiley   +1 more source

StahlDigital: Ontology‐Based Workflows for the Steel Industry

Advanced Engineering Materials, EarlyView.
The strength of the steel industry is based on the mastery of microstructure–property relationships. Digital workflows contribute to this aim by making the complexity of workflows reproducible and their execution user independent. The tools and workflows developed in the project StahlDigital as part of the German MaterialDigital initiative are ...
Franz Roters, Ahmed Aslam, Yang Bai, Matthias Büschelberger, Kirill Bulert, Alexander Butz, Tilmann Hickel, Tushar Jogi, Silke Klitschke, Michael Martin, Lars‐Peter Meyer, Lukas Morand, Yoav Nahshon, Norman Radtke, Ujjal Saikia, Andreas Trondl, Alexander Wessel, Paul Zierep, Dirk Helm   +18 more
wiley   +1 more source

Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization

Dianxin kexue, 2016
Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate,but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum ...
Yuzhi YAN, Youming LI, Guili ZHOU, Yaohui WU   +3 more
doaj   +2 more sources

A General Total Variation Minimization Theorem for Compressed Sensing Based Interior Tomography [PDF]

, 2009
Weimin Han, Hengyong Yu, Ge Wang
openalex   +1 more source

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

Advanced Engineering Materials, EarlyView.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier, Celso Ricardo Caldeira Rêgo, Han Lin Mai, Ujjal Saikia, Osamu Waseda, Markus Apel, Felix Arendt, Alexander Aschemann, Bernd Bayerlein, Robert Courant, Gordian Dziwis, Florian Fuchs, Ulrich Giese, Kurt Junghanns, Mohamed Kamal, Lukas Koschmieder, Sebastian Leineweber, Marc Luger, Marco Lukas, Jürgen Maas, Jana Mertens, Björn Mieller, Ludger Overmeyer, Norbert Pirch, Jan Reimann, Sebastian Schröck, Philipp Schulze, Jörg Schuster, Alexander Seidel, Oleg Shchyglo, Marek Sierka, Frank Silze, Simon Stier, Marvin Tegeler, Jörg F. Unger, Matthias Weber, Tilmann Hickel, Jörg Schaarschmidt   +37 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Dimensionless Investigations on Energy Conversion and Analysis of Interlayer Time in Laser‐Based Powder Bed Fusion of Polymers for Polyamide 12 with Nanoadditives and Polypropylene

Advanced Engineering Materials, EarlyView.
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör, Moritz Grünewald, Kevin Popp, Ihsan Murat Kusoglu, Stephan Barcikowski, Stan Gann, Thomas Schuffenhauer, Martin Bastian, Claas Bierwisch, Johannes Rudloff   +9 more
wiley   +1 more source

Nonnegative Compressed Sensing with Minimal Perturbed Expanders [PDF]

, 2009
M. Amin Khajehnejad, Alexandros G. Dimakis, Babak Hassibi   +2 more
openalex   +1 more source

Elastic‐Wave Propagation in Chiral Metamaterials: A Couple‐Stress Theory Perspective

Advanced Engineering Materials, EarlyView.
The intrinsic chirality of chiral metamaterials renders an effective medium based on the classical continuum theory ineffective for predicting their acoustic activity. This limitation is addressed in the present study by employing augmented asymptotic homogenization to derive a couple‐stress‐based effective medium, enabling accurate predictions in the ...
Shahin Eskandari, Wanmin Xu, Slight Chen, Bilen Emek Abali, Valérie Orsat, Abdolhamid Akbarzadeh   +5 more
wiley   +1 more source

Restricted isometry properties and nonconvex compressive sensing

, 2008
Rick Chartrand, Валентина Станева   +1 more
openalex   +2 more sources