Results 81 to 90 of about 7,257,933 (299)

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

open access: yesAdvanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang   +3 more
wiley   +1 more source

Rearrangeability of Wavelength-Space-Wavelength Switching Fabric Architecture for Elastic Optical Switches

open access: yesIEEE Access, 2019
In this paper, we consider the necessary and sufficient rearrangeability conditions for the wavelength-space-wavelength switching fabric, called the WSW2 switching fabric, for elastic optical network nodes.
Wojciech Kabacinski   +2 more
doaj   +1 more source

Predeployment of Transponders for Dynamic Lightpath Provisioning in Translucent Spectrally–Spatially Flexible Optical Networks

open access: yesApplied Sciences, 2020
We consider a dynamic lightpath provisioning problem in translucent spectrally–spatially flexible optical networks (SS-FONs) in which flexible signal regeneration is achieved with transponders operating in back-to-back (B2B) configurations.
Krzysztof Walkowiak   +3 more
doaj   +1 more source

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

open access: yesAdvanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai   +6 more
wiley   +1 more source

Enhancing the Efficiency of Resilient Multipath-Routed Elastic Optical Networks: A Novel Approach for Coexisting Protected and Unprotected Services with Idle Slot Reuse

open access: yesSensors
In this paper, we investigate a scenario in which protected and unprotected services coexist in an elastic optical network under dynamic traffic.
Michael M. L. Cavalcanti   +5 more
doaj   +1 more source

Integrated VONE Scheme Over Resource-Virtualized Elastic Optical Networks

open access: yesIEEE Access, 2019
To eliminate the ossification of optical infrastructure and adapt to the high-performance Internet applications, optical network virtualization is an important enabler to offer each application type a dedicated virtual optical network (VON).
Min Zhu   +4 more
doaj   +1 more source

Genetically Programmed Shape‐Morphing of Engineered Living Materials

open access: yesAdvanced 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

open access: yesAdvanced 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

XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion

open access: yesAdvanced Functional Materials, EarlyView.
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei   +4 more
wiley   +1 more source

3D‐Printed Gradient Shape‐Memory Strain Sensors With Rewritable Gauge Factors

open access: yesAdvanced Functional Materials, EarlyView.
A 3D‐printed shape‐memory strain sensor combines thermomechanical programming with gradient architectural design. Preset strain rewrites the gauge factor (GF), while the gradient geometry amplifies the response through strain redistribution. Reprogrammable sensitivity enables the same sensor to detect weak pulse signals and monitor large‐amplitude ...
Xuan Zhang   +10 more
wiley   +1 more source

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