Results 41 to 50 of about 5,486,851 (254)

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Re-Provisioning of Advance Reservation Applications in Elastic Optical Networks

open access: yesIEEE Access, 2017
Driven by the development of cloud computing and mobile Internet, network-based applications have become diverse. Besides the usual immediate reservation (IR) applications, which need to be served immediately, advance reservation (AR) applications have ...
Wei Wang   +6 more
doaj   +1 more source

Discrepancies Between Micro Versus Macroscale Viscoelastic Properties in a Microplastic‐Tissue Composite Model

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores the discrepancies between bulk mechanics and spatial mapping in a tissue‐mimetic hydrogel model. Microplastic particles create localized stiff mechanical microenvironments that are detectable by cellular‐scale nanoindentation but leave bulk properties unchanged as measured by rheology.
Ahron T. Verschleisser   +3 more
wiley   +1 more source

Automatic Hidden Elastic Optical Bypasses in Multi-Layer Networks

open access: yesApplied Sciences
This paper focuses on handling traffic demands dynamically in a multi-layer IP-over-elastic optical network (IP-over-EON). We propose a mechanism that uses two types of optical resources.
Edyta Biernacka, Jerzy Domżał
doaj   +1 more source

Deep Reinforcement Learning-Based RMSA Policy Distillation for Elastic Optical Networks

open access: yesMathematics, 2022
The reinforcement learning-based routing, modulation, and spectrum assignment has been regarded as an emerging paradigm for resource allocation in the elastic optical networks.
Bixia Tang   +3 more
doaj   +1 more source

Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators

open access: yesAdvanced Engineering Materials, EarlyView.
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel   +2 more
wiley   +1 more source

Performance Analysis of Automatic Hidden Ligthpaths in Multi-Layer Networks

open access: yesPhotonics, 2023
The problem of resource provisioning in multi-layer networks is an important issue. We discuss and analyze resource provisioning in terms of the visibility of optical resources for the virtual layer in a network.
Edyta Biernacka, Jerzy Domżał 
doaj   +1 more source

Thermal Cycle–Microstructure–Property Relationships in Rail Steel Heat‐Affected Zone Simulated by Gleeble

open access: yesAdvanced Engineering Materials, EarlyView.
Microstructural evolution of premium rail steel during flash butt welding (FBW), comparing physically simulated heat‐affected zones with actual weld regions. Thermal cycles induce phase transformations and microstructural heterogeneity that influence weld quality and mechanical performance. These findings provide insights into optimizing FBW parameters
Emmanoelle Cintra da Cunha Araújo   +15 more
wiley   +1 more source

On the Benefits of Elastic Transponders in Optical Metro Networks

open access: yes, 2012
We investigate the benefits of using elastic transponders with distance-adaptive data-rate in optical metro networks: experimental results show a significant reduction in terms of number of transponders and spectrum ...
C. Rottondi   +14 more
core   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad   +8 more
wiley   +1 more source

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